GlobalLogic

Job Description

Readiness to work till 12 AM Kyiv time, 11 PM Poland time
4+ years of developing and bolstering automated QA systems and associated test strategies;
Experience working with business-critical customer-facing applications (user interfaces, APIs, and back-end services);
Excellent communication skills with emphasis on writing detail-oriented documents and communications;
Strong understanding of object-oriented programming concepts;
Strong understanding of web UI and services automation testing;
Strong experience with Python, BDD (behave), SQL, DataBricks;
Knowledge in AWS, CI/CD;
Experience with AQA reporting tools;
Strong experience with web application testing tools (Selenium), API testing;
Deal well with ambiguous/undefined problems. Ability to think abstractly. A proactive approach to tasks.

Job Responsibilities

Responsible for designing and implementing build and test infrastructure, creating and enforcing. good engineering practices, and evaluating product quality for various external and/or internal products.
Conduct research and create Proof of Concepts on new testing technologies/tools/concepts.
Collecting TA metrics, statistics and reports.
Design test strategies by analyzing and dissecting complex heavily integrated software systems.
Develop and contribute to the automated testing efforts for the QA team.
Design and build scalable, maintainable, and flexible automation test framework.
Investigate the root cause of issues to assist with finding the most comprehensive and robust solutions.
Collaborate closely with product, project, and development teams to identify and resolve technical, business, and process-related issues.

Department/Project Description

About Project:

Comprised of the Company’s international business units and various direct-to-consumer streaming services, Media & Entertainment Distribution department aligns technology, media distribution and advertising sales into a single business segment to create and deliver personalized entertainment experiences to consumers around the world. 

GL team will be consentrated on building AdTech platform for our customer.

About Company:

Leading diversified international family entertainment and media enterprise with the following business segments: media networks, parks and resorts, studio entertainment, consumer products and interactive media. 

Description

Our client is an innovative manufacturer of medical devices in the United States, producing devices and software applications.

In this project, you will have a great opportunity to be involved in the full development life cycle of medical software, which is designed to assist individuals by processing information from medical devices to identify health trends and track daily activities. In addition, there are opportunities to work with medical devices, in the scope of end-to-end testing.

Requirements

Languages:
· Proficiency in Python (or Go). Shell scripting and Terraform familiarity are a plus.

Cloud & Infrastructure:
· Hands-on experience with AWS (IAM, SQS, RDS, Redis/ElastiCache, S3, SNS, Lambda, VPC).
· Experience validating infrastructure via Terraform or Terratest.
· Kubernetes fluency (namespaces, Helm, ConfigMaps, RBAC, Services, Pods, HPA).

Testing & Validation:
· Experience designing black-box/gray-box tests for infrastructure and configuration correctness.
· Familiar with GitOps or Infrastructure-as-Code testing practices.

Observability:
· Proficient with New Relic, OpenTelemetry, or similar platforms to track real-time application and resource performance.

Performance Testing:
· Experience designing and analyzing results from performance and load testing frameworks.

Nice to have:
· Experience with service meshes (Istio, Linkerd) or sidecar observability.
· Familiarity with GitLab pipelines, Argo CD, and Helmfile/Helm charts.
· Background in SRE or DevSecOps practices.
· Experience with Cilium and eBPF observability, (layer 3, 4, and 7)

Job responsibilities

 – Perform testing on software systems without user interfaces, focusing on API testing.
 – Develop, execute, and maintain automated test scripts to ensure software quality and reliability.
 – Write and maintain code. 
 – Utilize Python for scripting and automation tasks.
 – Use Selenium WebDriver for web application testing.
 – Implement performance testing using Jmeter.
 – Apply solid QA practices including black box testing, risk-based testing, system testing, regression testing, and exploratory testing to identify and resolve issues.

What we offer

Culture of caring. At GlobalLogic, we prioritize a culture of caring. Across every region and department, at every level, we consistently put people first. From day one, you’ll experience an inclusive culture of acceptance and belonging, where you’ll have the chance to build meaningful connections with collaborative teammates, supportive managers, and compassionate leaders. 

Learning and development. We are committed to your continuous learning and development. You’ll learn and grow daily in an environment with many opportunities to try new things, sharpen your skills, and advance your career at GlobalLogic. With our Career Navigator tool as just one example, GlobalLogic offers a rich array of programs, training curricula, and hands-on opportunities to grow personally and professionally.

Interesting & meaningful work. GlobalLogic is known for engineering impact for and with clients around the world. As part of our team, you’ll have the chance to work on projects that matter. Each is a unique opportunity to engage your curiosity and creative problem-solving skills as you help clients reimagine what’s possible and bring new solutions to market. In the process, you’ll have the privilege of working on some of the most cutting-edge and impactful solutions shaping the world today.

Balance and flexibility. We believe in the importance of balance and flexibility. With many functional career areas, roles, and work arrangements, you can explore ways of achieving the perfect balance between your work and life. Your life extends beyond the office, and we always do our best to help you integrate and balance the best of work and life, having fun along the way!

High-trust organization. We are a high-trust organization where integrity is key. By joining GlobalLogic, you’re placing your trust in a safe, reliable, and ethical global company. Integrity and trust are a cornerstone of our value proposition to our employees and clients. You will find truthfulness, candor, and integrity in everything we do.

Job Description

Languages:
· Proficiency in Python or Go (ideally both). Shell scripting and Terraform familiarity are a plus.

Cloud & Infrastructure:
· Hands-on experience with AWS (IAM, SQS, RDS, Redis/ElastiCache, S3, SNS, Lambda, VPC).
· Experience validating infrastructure via Terraform or Terratest.
· Kubernetes fluency (namespaces, Helm, ConfigMaps, RBAC, Services, Pods, HPA).

Testing & Validation:
· Experience designing black-box/gray-box tests for infrastructure and configuration correctness.
· Familiar with GitOps or Infrastructure-as-Code testing practices.

Observability:
· Proficient with New Relic, OpenTelemetry, or similar platforms to track real-time application and resource performance.

Performance Testing:
· Experience designing and analyzing results from performance and load testing frameworks.

Nice to have:
· Experience with service meshes (Istio, Linkerd) or sidecar observability.
· Familiarity with GitLab pipelines, Argo CD, and Helmfile/Helm charts.
· Background in SRE or DevSecOps practices.
· Experience with Cilium and eBPF observability, (layer 3, 4, and 7)

Job Responsibilities

 - Perform testing on software systems without user interfaces, focusing on API testing.
 - Develop, execute, and maintain automated test scripts to ensure software quality and reliability.
 - Write and maintain code. 
 - Utilize Python for scripting and automation tasks.
 - Use Selenium WebDriver for web application testing.
 - Implement performance testing using Jmeter.
 - Apply solid QA practices including black box testing, risk-based testing, system testing, regression testing, and exploratory testing to identify and resolve issues.

Department/Project Description

Our client is an innovative manufacturer of medical devices in the United States, producing devices and software applications.

In this project, you will have a great opportunity to be involved in the full development life cycle of medical software, which is designed to assist individuals by processing information from medical devices to identify health trends and track daily activities. In addition, there are opportunities to work with medical devices, in the scope of end-to-end testing.

GlobalLogic is searching for a motivated, results-driven, and innovative software engineer to join our project team at a dynamic startup specializing in pet insurance. Our client is a leading global holding company that is dedicated to developing an advanced pet insurance claims clearing solution designed to expedite and simplify the veterinary invoice reimbursement process for pet owners.
 

You will be working on a cutting-edge system built from scratch, leveraging Azure cloud services and adopting a low-code paradigm.

The project adheres to industry best practices in quality assurance and project management, aiming to deliver exceptional results.

We are looking for an engineer who thrives in collaborative, supportive environments and is passionate about making a meaningful impact on people’s lives.

If you are enthusiastic about building innovative solutions and contributing to a cause that matters, this role could be an excellent fit for you.

Requirements

• Strong hands-on experience with Azure Databricks (DLT Pipelines, Lakeflow Connect, Delta Live Tables, Unity Catalog, Time Travel, Delta Share) for large-scale data processing and analytics
• Proficiency in data engineering with Apache Spark, using PySpark, Scala, or Java for data ingestion, transformation, and processing
• Proven expertise in the Azure data ecosystem: Databricks, ADLS Gen2, Azure SQL, Azure Blob Storage, Azure Key Vault, Azure Service Bus/Event Hub, Azure Functions, Azure Data Factory, and Azure CosmosDB
• Solid understanding of Lakehouse architecture, Modern Data Warehousing, and Delta Lake concepts
• Experience designing and maintaining config-driven ETL/ELT pipelines with support for Change Data Capture (CDC) and event/stream-based processing
• Proficiency with RDBMS (MS SQL, MySQL, PostgreSQL) and NoSQL databases
• Strong understanding of data modeling, schema design, and database performance optimization
• Practical experience working with various file formats, including JSON, Parquet, and ORC
• Familiarity with machine learning and AI integration within the data platform context
• Hands-on experience building and maintaining CI/CD pipelines (Azure DevOps, GitLab) and automating data workflow deployments
• Solid understanding of data governance, lineage, and cloud security (Unity Catalog, encryption, access control)
• Strong analytical and problem-solving skills with attention to detail
• Excellent teamwork and communication skills
• Upper-Intermediate English (spoken and written)

Job responsibilities

• Design, implement, and optimize scalable and reliable data pipelines using Databricks, Spark, and Azure data services
• Develop and maintain config-driven ETL/ELT solutions for both batch and streaming data
• Ensure data governance, lineage, and compliance using Unity Catalog and Azure Key Vault
• Work with Delta tables, Delta Lake, and Lakehouse architecture to ensure efficient, reliable, and performant data processing
• Collaborate with developers, analysts, and data scientists to deliver trusted datasets for reporting, analytics, and machine learning use cases
• Integrate data pipelines with event-based and microservice architectures leveraging Service Bus, Event Hub, and Functions
• Design and maintain data models and schemas optimized for analytical and operational workloads
• Identify and resolve performance bottlenecks, ensuring cost efficiency and maintainability of data workflows
• Participate in architecture discussions, backlog refinement, estimation, and sprint planning
• Contribute to defining and maintaining best practices, coding standards, and quality guidelines for data engineering
• Perform code reviews, provide technical mentorship, and foster knowledge sharing within the team
• Continuously evaluate and enhance data engineering tools, frameworks, and processes in the Azure environment

Please pay your attention - the location is only Lviv, and office visiting is mandatory

Job Description

• Good knowledge of fundamentals of QA theory (testing techniques, types, artifacts, tools)
• Ability to apply that theory to real-world scenarios
• Understanding of Agile methodology
• Upper-intermediate English (understanding complex texts, communicating with native speakers)
• Ability to visit the laboratory

Nice to have skills:

• Basic understanding of API testing (Postman)
• Basic SQL knowledge (MS SQL, PostgreSQL)
• Experience as a QC engineer or similar role
• Technical education

Required skills:

• QA Course or alike training has been passed

Job Responsibilities

• Requirements testing
• Functional testing (with & w/o hardware)
• Regression testing (with & w/o hardware)
• Troubleshooting issues
• Participating in team sprint plannings
• Conducting sprint demos

Department/Project Description

We develop a POS solution that allows providing attended (employee) and unattended (customer) tunnel car washing service. Designated team focuses on Payment and Subscription logic for POS platform

There are two labs:

- One in the USA
- One in Ukraine (Lviv)

Hardware Solution includes several points of sale(POS), different sensors, readers and cameras, payment terminals, servers, and automatic gates.

The solution supports both USA and Canadian markets. Ukrainian teams develop a PWA(web) application and a hybrid web application (.Net & Angular) that operates on hardware & cloud and supports full customer flow: from customer recognition or account creation to sale & directing their car to a tunnel, reporting, etc. All embedded development is on the client's side.

Project count ~80 teammates: 4 Feature teams, 2 AQA teams, Performance improvements team, DevOps team, L3 support team, Management team

Some teams have hardware dependency based on the areas of the application they work with, for them office attendance is necessary.

The project is in active development with 80+% work related to new feature development. The project age is 5 years, with 4 of them in production.

The client has huge plans for 2023 so you have a chance to become a part of the big success.

Flow

True SCRUM. Story points, Product owner, Scrum master, and Sprints include mandatory daily stand-ups, grooming, planning, demo, and retro sessions.

2-week sprints, releases strictly every 3 weeks, updates on demand.

Only agreed and paid overtime. Limited control from the Management team. Teams are fully self-manageable. No rushing or delivering work ASAP.

Limited communication and control from the client side.

You should be:

• - Movie freak who can watch movies all day long
• - Detail-oriented like Sherlock Holmes
• - Flash-fast in finding problems
• - Lawnmower man in Network knowledge
• - Dr Strange in English knowledge
• - Obi-Wan Kenobi in communication 

Good to have:

• - Know what is a Bug and what is a Feature
• - QA Fundamentals and Bug life-cycle
• - Love for Cookies and for a good team

Job Responsibilities

• - Watching movies and improving content quality
• - Searching and reporting content issues
• - Communication with involved teams 

Department/Project Description

Do you believe it is possible to get payment for your hobby? If you're a real Movie Fan, you have a good chance! 

Have a passion to get high quality content to watch?

Do you feel that you can watch that all the day long and provide valuable comments to raise movie quality?

Join content experts team to watch lots of movies, share your thoughts on cast, producers and post-credits scenes! We lookup for people, who are really passionate and are ready to invest theirs passion to Media.

Job Description

5+ years of experience in applied machine learning or data science roles
Strong proficiency in Python
Experience developing, training, and optimizing models with a focus on timeseries data analysis
Solid understanding of data preprocessing, feature engineering, and model evaluation methods
Familiarity with MLOps workflows and collaboration with platform engineers for model deployment
Experience with any of the following: Amazon Sagemaker, MLFlow, Vertex AI
Strong problem-solving, communication, and collaboration skills
Strong understanding of data structures, algorithms, and software engineering principles.
Hands-on experience with cloud platform (AWS) is a plus

Job Responsibilities

Design and develop machine learning models. ML Engineer will handle model selection, implementation, training, testing, and optimization, ensuring models meet requirements and achieve learning standards.
Model Lifecycle Management.
Onboard new ML models onto the existing platform with standardized training automation and interfaces.
"Collaborate with DevOps and data engineers to deliver end-to-end solutions:
• Manage and optimize big data and training data pipelines for cost and reliability.
• Oversee, maintain and enhance CI/CD operations for ML services"

Department/Project Description

We are seeking a highly skilled and motivated Sr. ML Engineer to join our team and contribute to the development for a leading telecommunications provider.

Description

Inviting Test Automation Engineer to join a growing account in the medical devices industry domain. Our client is the global leader company of healthcare solutions, which contributes to human welfare by application of biomedical engineering in the research, design, manufacture, and sale of instruments or appliances that alleviate pain, restore health and extend life for people around the world.

Our team is focusing on:

• automated testing of software for a medical device – continuous glucose monitor subsystem based on Bluetooth Low Energy;
• manual testing of desktop applications

Requirements

Must have:

• At least 3 years of experience in software testing
• Experience in Test Design implementation
• At least 1 year of automated testing experience with automation tools/frameworks or equivalent experience in development
• Good knowledge and/or experience in JS (preferably) or Python
• Good understanding of the testing methodology and test automation approaches
• Intermediate/Upper Intermediate written/spoken English

Will be a plus:

• Knowledge BLE communication protocol
• Experience in Embedded Software Testing

Job responsibilities

• Functional testing
• Automated test script development
• Manual test case execution
• Test designs creation
• Issue verification
• Requirements analysis
• Test coverage analysis

What we offer

Culture of caring. At GlobalLogic, we prioritize a culture of caring. Across every region and department, at every level, we consistently put people first. From day one, you’ll experience an inclusive culture of acceptance and belonging, where you’ll have the chance to build meaningful connections with collaborative teammates, supportive managers, and compassionate leaders. 

Learning and development. We are committed to your continuous learning and development. You’ll learn and grow daily in an environment with many opportunities to try new things, sharpen your skills, and advance your career at GlobalLogic. With our Career Navigator tool as just one example, GlobalLogic offers a rich array of programs, training curricula, and hands-on opportunities to grow personally and professionally.

Interesting & meaningful work. GlobalLogic is known for engineering impact for and with clients around the world. As part of our team, you’ll have the chance to work on projects that matter. Each is a unique opportunity to engage your curiosity and creative problem-solving skills as you help clients reimagine what’s possible and bring new solutions to market. In the process, you’ll have the privilege of working on some of the most cutting-edge and impactful solutions shaping the world today.

Balance and flexibility. We believe in the importance of balance and flexibility. With many functional career areas, roles, and work arrangements, you can explore ways of achieving the perfect balance between your work and life. Your life extends beyond the office, and we always do our best to help you integrate and balance the best of work and life, having fun along the way!

High-trust organization. We are a high-trust organization where integrity is key. By joining GlobalLogic, you’re placing your trust in a safe, reliable, and ethical global company. Integrity and trust are a cornerstone of our value proposition to our employees and clients. You will find truthfulness, candor, and integrity in everything we do.

This project is implemented for a Fortune 500 company recognized as one of the world’s leading manufacturers in the areas of industrial systems, worker safety, healthcare, and consumer goods. The organization is committed to developing technologies and products that drive business growth, improve homes, and enhance everyday life.

The solution being developed supports automotive repair centers by providing tools for inventory tracking, collision estimation, invoicing, and analytics.
The team’s responsibilities include analyzing and implementing new features, as well as maintaining and improving existing web applications.

Job Responsibilities

• Contribute to the design, development, and delivery of a commercial web application throughout the entire software development lifecycle — including specification, implementation, testing, and deployment
• Write clean, efficient, and maintainable code following best practices and coding standards
• Troubleshoot, debug, and improve existing functionality to ensure high performance and reliability
• Participate actively in daily scrum meetings, sprint planning, and reviews
• Ensure high quality of your code through code reviews, unit testing, and adherence to coding guidelines
• Provide accurate effort estimates and plan work within iterations to meet project goals
• Collaborate effectively with backend developers, QA engineers, and other teams involved in the product development

Job Requirements

• 5+ years of experience in web front-end development using HTML5, CSS, JavaScript/TypeScript (Angular 9+), with REST and web API expertise
• Experience in developing scalable web-based software platforms
• Hands-on experience working as a developer on the .NET platform
• Proven experience collaborating with agile development teams to design and develop APIs
• Experience with .NET Core
• Knowledge of SQL and NoSQL databases (CosmosDB)
• Experience with Microsoft Azure or other cloud-based development environments is a plus
• Familiarity with iterative development methodologies such as SCRUM
• At least an intermediate level of English (ability to communicate and collaborate effectively with international team members)

Job Description

Required:

• Good knowledge of testing theory (test types, test cases, bug reports etc.)
• Basic knowledge of hardware
• Attention to detail, patience, and investigation skills
• At least intermediate English level
• Fast learner with strong problem-solving skills

Preferred:

• Basic knowledge of Python

• Technical writing

   

Job Responsibilities

Manual testing of streaming devices' firmware on different platforms
Creating bug reports
Creating and updating test documentation

Department/Project Description

Our Customer is one of the largest companies in the home entertainment consumer electronics market, striving to provide its clients with high-quality products and services.

The main project goal is to ensure the high quality of firmware releases on various streaming platforms (STBs, Smart TVs, sound devices) by conducting testing on real equipment in different combinations and setups. The project includes manual and automated testing.

Job Description:

• Proven professional Test Automation experience
• Knowledge of Testing Best Practices.
• Experience with Cucumber, Gherkin, or other BDD testing tools.
• Knowledge of SQL (verify analytics and reporting dashboards)
• Experience working in an Agile/Scrum development process.
• Experience in data quality tools like Great Expectations, Soda Core or DBT testing
• Data Pipeline Testing/ ETL/ Data Quality experience
• Python scripting to write data quality checks
• Playwright Testing using Typescript is a plus or willing to learn and work. As our product involves both Data pipelines and front end
• Experience with Big Query, Power BI or similar

Key Requirements:

• Data Validation: Strong SQL (PostgreSQL) skills and experience with diverse data tech (GCP, Snowflake, BigQuery, Airflow, APIs, UI).
• Problem Solving: Ability to independently identify, root cause, and debug critical data issues end-to-end.

Valued Skills:

• DevOps/Cloud: CI/CD (GitLab/Jenkins), GCP, Kubernetes, Cloud Storage.
• Tools: Jira, Xray, k6/JMeter, Datadog.

Job Responsibilities:

We are looking for an automation QA. The primary responsibilities will be to develop automated test framework and ensure quality of the application. Coordination with the rest of the team working on different layers of the infrastructure will be required. Therefore, a commitment to collaborative problem solving, sophisticated design and quality product is essential.

Department/Project Description:

We have an exciting opportunity for a passionate Middle AQA engineer to join our growing technology team within the WPP division, focusing on building technology products for world's leading media agencies. The successful candidate will work alongside developers and other members of the scrum teams.

About the division:

We like to say that we play with giants. That’s huge data sets, influential partners, and even bigger ambitions. But only because we’re here to make a difference. As WPP's division, our mission is to create products that make advertising work better for people. With expertise in data science, audience insights, simulations, and automation, our strong team designs and builds software products that shape the global media ecosystem. With a partnership philosophy at the heart of everything we do, we team up with the world’s leading media and technology organizations — including Adobe, Amazon, Baidu, The Trade Desk, Google — to develop innovative solutions and bring a unique competitive advantage to our portfolio of clients.

WPP and all its affiliates embrace and celebrate diversity, inclusivity, and equal opportunity. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. We are a worldwide media agency network that represents global clients. The more inclusive we are, the greater work we can create together.

Description

Our client is innovative manufacturer of medical devices in the United States which produces a devices and software applications.

At this project, you will have a great opportunity to be involved into the full development life cycle of medical software which is intended to help individuals by processing certain information taken from medical devices to identify health trends and to track daily activities.

Requirements

• 5+ years of experience in writing technical documentation
• Philological or technical background
• Excellent command of English (Advanced +)
• Excellent written and verbal communication skills
• Proofreading and editing skills
• Analytical skills
• Team player
• Experiance in Healthcare domain would be a plus

Job responsibilities

• Create, edit, update, and maintain project-related documentation
• Work closely with development, testing, and product teams to ensure the quality, discoverability, and accuracy of the content created or updated
• Work with different document control tools to process project-related documentation
• Documentation releasing 
• Localization 

Job Description

Strong experience with Python.

Strong experience with PostgreSQL and databases in general.

Strong Experience with AWS services.

Cloud ETL & Data Warehousing experience is a plus.

Ability to work independently and as part of a team.

Strong problem-solving and communication skills.

Job Responsibilities

Develop and implement new features that will enable us to optimize costs of cloud infrastructure and usage.

Optimize existing codebase: Improve the performance and efficiency of the current codebase.
Collaborate with cross-functional teams: Work closely with product managers, designers, and other developers.
Debug and resolve issues: Identify and fix bugs to ensure the product runs smoothly and efficiently.

Department/Project Description

Our Client is one of the leading providers of a comprehensive program that enables businesses to secure brand value and thrive commercially. They serve over 5000 clients on five continents!
The project we are working on is the largest technology transformation for the Client at the moment. It consists of Engineering and Data Science functions, with 180 people globally, aligned to Trademark Solutions or Online Brand Protection Business Units. Brand Protection has large-scale web crawling and workflow web applications (including browser plugins). The platform is tracking millions of product listings each day and a dataset in excess of 150TB.

Description

Our client is a global technology and manufacturing company with a long history of innovation across multiple industries, including industrial solutions, worker safety, and consumer goods. Headquartered in the United States, the company develops and produces a wide range of products – from adhesives, abrasives, and protective materials to personal safety equipment, electronic components, and optical films. With tens of thousands of products in its portfolio and operations in markets around the world, it plays a key role in delivering high-quality, reliable solutions for both businesses and consumers.

Requirements

We are looking for a highly skilled and experienced Senior Data Engineer to join our team. In this role, you will be a key player in designing, building, and optimizing our data architecture and pipelines. You will be working on a complex data project, transforming raw data into reliable, high-quality assets ready for analytics, data science, and business intelligence. As a senior member of the team, you will also be expected to help junior/middle engineers, drive technical best practices, and contribute to the strategic direction of our data platform.

Required Qualifications & Skills

• 5+ years of professional experience in data engineering or a related role.
• A minimum of 3 years of deep, hands-on experience using Python for data processing, automation, and building data pipelines.
• A minimum of 3 years of strong, hands-on experience with advanced SQL for complex querying, data manipulation, and performance tuning.
• Proven experience with cloud data services, preferably Azure (Azure Data Factory, Azure Databricks, Azure SQL Database, Azure Data Lake Storage).
• Hands-on experience with big data processing frameworks like Spark (PySpark) and platforms such as Databricks.
• Solid experience working with large, complex data environments, including data processing, data integration, and data warehousing.
• Proficiency in data quality assessment and improvement techniques.
• Experience working with and cleansing a variety of data formats, including unstructured and semi-structured data (e.g., CSV, JSON, Parquet, XML).
• Familiarity with Agile and Scrum methodologies and project management tools (e.g., Azure DevOps, Jira).
• Excellent problem-solving skills and the ability to communicate complex technical concepts effectively to both technical and non-technical audiences.

Preferred Qualifications & Skills

• Knowledge of DevOps methodologies and CI/CD practices for data pipelines.
• Experience with modern data platforms like Microsoft Fabric for data modeling and integration.
• Experience with consuming data from REST APIs.
• Experience with database design, optimization, and performance tuning for software application backends.
• Knowledge of dimensional data modeling concepts (Star Schema, Snowflake Schema).
• Familiarity with modern data architecture concepts such as Data Mesh.
• Real-world experience supporting and troubleshooting critical, end-to-end production data pipelines.

Job responsibilities

Key Responsibilities

• Architect & Build Data Pipelines: Design, develop, and maintain robust, scalable, and reliable data pipelines using Python, SQL, and Spark on the Azure cloud platform.
• End-to-End Data Solutions: Architect and implement end-to-end data solutions, from data ingestion and processing to storage in our data lake (Azure Data Lake Storage, Delta Lake) and data warehouse.
• Cloud Data Services Management: Utilize Azure services like Azure Data Factory, Databricks, and Azure SQL Database to build, orchestrate, and manage complex data workflows.
• Data Quality & Governance: Implement and enforce comprehensive data quality frameworks, including data profiling, cleansing, and validation routines to ensure the highest levels of data integrity and trust.
• Performance Optimization: Analyze and optimize data pipelines for performance, scalability, and cost-efficiency, ensuring our systems can handle growing data volumes.
• Mentorship & Best Practices: Mentor and provide technical guidance to junior and mid-level data engineers. Lead code reviews and champion best practices in data engineering, coding standards, and data modeling.
• Stakeholder Collaboration: Work closely with data analysts, data scientists, and business stakeholders to understand data requirements, provide technical solutions, and deliver actionable data products.
• System Maintenance: Support and troubleshoot production data pipelines, identify root causes of issues, and implement effective, long-term solutions.

Our Client is a world-leading manufacturer of premium quality “smart” beds designed to help answer questions around not being able to sleep at night through innovative technologies and digitalized solutions.

Our client is a fast-moving, highly technical team of people with the ambitious goal of bringing people better health and well-being through the best possible sleep experience, aiming to be the leader in sleep. The product combines established expertise in creating comfortable, adjustable beds with the latest in sleep science, cutting-edge sensor technology, and data processing algorithms.

The Role:

As a Big Data Architect, you will be responsible for the leadership and strategic innovation related to the data platform and services, help guide our solution strategies, and develop new technologies and platforms.

We are looking for individuals who have a desire to architect and the ability to rapidly analyze use cases, design technical solutions that meet business needs while adhering to existing standards and postures, and lead multiple technical teams during implementation. Successful candidates will have excellent written and oral communication skills in English; will be comfortable explaining technical concepts to a wide range of audiences, including senior leadership and has deep understanding of modern big data architecture and design practices, patterns and tools.

Job Description

• Total of 10+ years of development/design/architecting experience with a minimum of 5 years experience in Big Data technologies on-prem or on cloud.
• Experience with architecting, building, implementing and managing Big Data platforms On Cloud, covering ingestion (Batch and Real time), processing (Batch and Realtime), Polyglot Storage, Data Analytics and Data Access
• Good understanding of Data Governance, Data Security, Data Compliance, Data Quality, Meta Data Management, Master Data Management, Data Catalog
• Proven understanding and demonstrable implementation experience of big data platform technologies on cloud (AWS and Azure) including surrounding services like IAM, SSO, Cluster monitoring, Log Analytics etc
• Experience working with Enterprise Data Warehouse technologies, Multi-Dimensional Data Modeling, Data Architectures or other work related to the construction of enterprise data assets
• Strong Experience implementing ETL/ELT processes and building data pipelines including workflow management, job scheduling and monitoring
• Experience building stream-processing systems, using solutions such as Apache Spark, Databricks, Kafka etc...
• Experience with Spark/Databricks technology is a must
• Experience with Big Data querying tools
• Solid skills in Python
• Strong experience with data modelling and schema design
• Strong SQL programming background
• Excellent interpersonal and teamwork skills
• Experience to drive solution/enterprise-level architecture, collaborate with other tech leads
• Strong problem solving, troubleshooting and analysis skills
• Experience working in a geographically distributed team
• Experience with leading and mentorship of other team members
• Good knowledge of Agile Scrum
• Good communication skills

Job Responsibilities

Work directly with the Client teams to understand the requirements/needs and rapidly prototype data and analytics solutions based upon business requirements
Architect, Implement and manage large scale data platform/applications including ingestion, processing, storage, data access, data governance capabilities and related infrastructure
Support Design and development of solutions for the deployment of data analytics notebooks, tools, dashboards and reports to various stakeholders
Communication with Product/DevOps/Development/QA team
Architect data pipelines and ETL/ELT processes to connect with various data sources
Design and maintain enterprise data warehouse models
Take part in the performance optimization processes
Guide on research activities (PoC) if necessary
Manage cloud based data & analytics platform
Establishing best practices with CI\CD under Big Data scope