Jobs Data Engineer

The Digital Health organization is technology team which focused on next generation Digital Health capabilities which deliver on the Medicine mission and vision to deliver Insight Driven Care. This role will operate within the Digital Health Applications & Interoperability subgroup of the broader Digital Health team, focused on patient engagement, care coordination, AI, healthcare analytics & interoperability amongst other advanced technologies which enhance our product portfolio with new services, while improving clinical & patient experiences.

 The project is a cloud-based PaaS Ecosystem built with a privacy by design centric approach to provide a centralized cloud-based platform to store, classify, and control access to federated datasets in a scalable, secure, and efficient manner.

The ecosystem will allow Customer Operating Units (medical device departments) to store federated data sets of varying sizes and formats and control access to those data sets through Data steward(s). Source data sets can be exposed to qualified use cases and workflows through different project types.

The Healthcare Data Platform ecosystem will provide ML/AI project capabilities for streamlined development processes and a ML/AI workbench to enhance data exploration, wrangling, and model training.

In queue: 15+ OU’s. At this moment focused on – Nuero, Cardio, Diabetes is the OU that data platform is working with, but there could be more OU’s coming up with requirements in future.

GL Role: is to work on the enhancement of current capabilities, including taking over the work that AWS proserve team is doing, and develop new requirements that will keep coming from different OU’s in the future.
 

Requirements:
 

• AWS Platform: Working experience with AWS data technologies, including S3, AWS RDS, and Lake Formation
• Programming Languages: Strong programming skills in Python
• Data Formats: Experience with JSON, XML, and other relevant data formats
• CI/CD Tools: Ability to deploy using established CI/CD pipelines using GitLab CI, Jenkins, Terraform or similar tools
• Scripting and automation: experience in scripting languages such as Python, PowerShell, etc.
• Monitoring and Logging: Familiarity with monitoring & logging tools like CloudWatch, Splunk, ELK, Dynatrace, Prometheus
• Source Code Management: Expertise with GitLab

• Documentation: Experience with markdown and in particula,r Antora for creating technical documentation
   

  NICE TO HAVE:
   

• Previous Healthcare or Medical Device experience
• Experience implementing enterprise grade cyber security & privacy by design into software products
• Experience working in Digital Health software
• Experience developing global applications
• Strong understanding of SDLC;
• Experience with Agile methodologies
• Software estimation
• Experience leading software development teams onshore and offshore
• Experience with FHIR
   

Job responsibilities:
 

• Implement data pipelines using AWS services such as AWS Glue, Lambda, Kinesis, etc
• Implement integrations between the data platform and systems such as Atlan, Trino/Starburst, etc
• Complete logging and monitoring tasks through AWS and Splunk toolsets
• Develop and maintain ETL processes to ingest, clean, transform and store healthcare data from various sources
• Optimize data storage solutions using Amazon S3, AWS RDS, Lake Formation and other AWS technologies.
• Document, configure, and maintain systems specifications that conform to defined architecture standards, address business requirements, and processes in the cloud development & engineering.
• Participate in planning of system and development deployment as well as responsible for meeting compliance and security standards.
• Actively identify system functionality or performance deficiencies, execute changes to existing systems, and test functionality of the system to correct deficiencies and maintain more effective data handling, data integrity, conversion, input/output requirements, and storage.
• Document testing and maintenance of system updates, modifications, and configurations.
• Leverage platform process expertise to assess if existing standard platform functionality will solve a business problem or customization solution would be required.
• Test the quality of a product and its ability to perform a task or solve a problems.
• Perform basic maintenance and performance optimization procedures in each of the primary operating systems.
• Ensure system implementation compliance with global & local regulatory and security standards (i.e. HIPAA, SOCII, ISO27001, etc…)

Project Description:

We are seeking a skilled, hands-on Data Engineer with demonstrated experience in Databricks, Apache Spark, Python, and real-time data streaming solutions.

Responsibilities:

- Implement resource composition logic provided by the Product team into scalable and efficient PySpark code.
- Develop, optimize, and maintain PySpark applications within the Databricks environment.
- Utilize and maintain existing CI/CD pipelines in Databricks for automated build, testing, and deployment.
- Write and maintain unit tests to ensure high code quality and reliability.
- Perform data validation and quality checks to ensure compliance with defined business rules
- Support and manage production deployments, ensuring system stability and performance.
- Troubleshoot and resolve issues across development, testing, and production environments.
- Collaborate with Product, QA, DevOps, and healthcare domain teams to ensure accurate implementation.
- Maintain technical documentation for code, workflows, and deployment processes.
- Pull from and push code to GitHub repositories, following version control and branching best practices.

Mandatory Skills Description:

- 5+ years of experience in data engineering roles
- Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience).
- 4+ years of experience with Databricks data pipelines
- Strong hands-on experience with PySpark and/or Apache Spark.
- Experience working with CI/CD pipelines and DevOps best practices.
- Proficiency with CI/CD, GitHub (pull requests, branching, code reviews).
- Experience writing unit tests and performing data validation
- Experience supporting production systems and deployments
- Strong analytical and troubleshooting skills.

Nice-to-Have Skills Description:

- Knowledge of FHIR (Fast Healthcare Interoperability Resources) standards.
- Experience with healthcare data integration projects.
- Familiarity with REST APIs and FHIR server integrations.
- Experience in Agile/Scrum development environments.

Languages:

English: C1 Advanced

RedCore is an international business group that creates technological solutions for digital markets. Our products and services cover fintech, marketing, e-commerce, customer service, communications and regulatory technologies. 

We are looking for a Data Engineer to join our team!

Requirements:
- 2+ years of experience in the role of data engineer;

- Experience in designing and implementing data processing systems;

- Good knowledge of Python basics (including SOLID design principles);

- HTTP;

- Git (GitLab);
 

Will be plus:

- Columnstore DBs (Clickhouse);

- Airflow;

Responsibilities:
- Communication with clients on the task requirements;

- Write high performance, testable and maintainable code to implement new functionality;

- Take part in technical discussions to come up with solutions for challenging issues;

- Participate in code reviews to ensure code quality and distribute knowledge.

Our benefits to you:
🔸An exciting and challenging job in a fast-growing holding, the opportunity to be part of a multicultural team of top professionals in Development, Architecture, Management, Operations, Marketing, Legal, Finance and more
Great working atmosphere with passionate experts and leaders, sharing a friendly culture and a success-driven mindset is guaranteed
🔸Modern corporate equipment based on macOS or Windows and additional equipment are provided
🔸Paid vacations, sick leave, personal events days, days off
🔸Referral program — enjoy cooperation with your colleagues and get the bonus
🔸Educational programs: regular internal training sessions, compensation for external education, attendance of specialized global conferences
Rewards program for mentoring and coaching colleagues
🔸Free internal English courses
🔸In-house Travel Service
🔸Multiple internal activities: online platform for employees with quests, gamification, presents and news, PIN-UP clubs for movie / book / pets lovers and more
🔸Other benefits could be added based on your location
 

We are looking for a Senior Data Engineer to join and strengthen data engineering practice on a large-scale, high-impact project within the travel and hospitality domain. In this role, you will work hands-on with complex data ecosystems, taking responsibility for the stability, scalability, and performance of mission-critical data integrations.

Requirements:

• 5+ years experience in Python and proven experience working with large-scale datasets.
• Experience with PMS integrations/Hospitality domain
• Solid background in designing, building, and maintaining data processing pipelines.
• Experience with cloud platforms (GCP, AWS, or Azure).
• Hands-on skills with SQL and data storage/querying systems (e.g., BigQuery, BigTable, or similar).
• Knowledge of containerization and orchestration tools (Docker, Kubernetes).
• Ability to troubleshoot and debug complex technical issues in distributed systems.
• Strong communication skills in English, with the ability to explain technical details to both technical and non-technical stakeholders.
• Experience using AI coding assistants (e.g., Cursor, GitHub Copilot, or similar) in day-to-day development tasks.
• Experience with Google Cloud services such as Pub/Sub, Dataflow, and ML-driven data workflows.

Tasks:

• Maintain and enhance existing data integrations, ensuring the reliability, accuracy, and quality of incoming data.
• Lead the investigation and resolution of complex incidents by performing deep technical analysis and debugging.
• Communicate effectively with stakeholders (including customer-facing teams and external partners) by providing transparent and timely updates.
• Collaborate with partners to troubleshoot integration issues and ensure smooth data flow.
• Identify opportunities to improve processes, tooling, and documentation to scale and streamline data operations.

• Contribute to the design and delivery of new data engineering solutions supporting business-critical systems.

   

The company offers:

• Reimbursement of medical expenses
• Compensation for trainings, seminars, conferences
• Free access to the Pluralsight and ACloudGuru knowledge base
• Engagement in our Mentorship Hub program as a mentor or a mentee to foster professional growth and development

The company is a healthcare data analytics provider offering modern data infrastructure, reporting, and AI‑driven insights. Their technology focuses on improving how healthcare organizations manage, analyze, and use clinical data.

Core Solutions

•  Healthcare data platform: Consolidates structured and unstructured patient data in near real time to create a unified data foundation.

•  Longitudinal clinical data ecosystem: Enables comprehensive management and analysis of patient information.

•  Patient engagement platform: Integrates data from multiple sources to support secure communication and holistic patient care.

•  Population health management suite: Aggregates clinical and claims data, identifies at‑risk groups, and supports interventions to improve outcomes and reduce costs.

•  Care coordination and analytics tools: Provide a complete view of patient data to enhance quality, reduce costs, and support risk stratification.

•  AI and analytics services: Transform healthcare data into actionable insights for better care and operational efficiency.

Tech stack includes:

• SQL

• Python

• Data Warehousing

• ETL

• Snowflake and/or BigQuery

• AWS (Glue, Athena, Redshift is a plus)

• GCP

• Git

Conditions:

• Compensation: 5500–6500 USD/month

• Contract: B2B

• Remote‑friendly

• Project Description:

  We are seeking a skilled, hands-on Data Engineer with demonstrated experience in Databricks, Apache Spark, Python, and real-time data streaming solutions.

   

• Responsibilities:

  - Implement resource composition logic provided by the Product team into scalable and efficient PySpark code.
  - Develop, optimize, and maintain PySpark applications within the Databricks environment.
  - Utilize and maintain existing CI/CD pipelines in Databricks for automated build, testing, and deployment.
  - Write and maintain unit tests to ensure high code quality and reliability.
  - Perform data validation and quality checks to ensure compliance with defined business rules
  - Support and manage production deployments, ensuring system stability and performance.
  - Troubleshoot and resolve issues across development, testing, and production environments.
  - Collaborate with Product, QA, DevOps, and healthcare domain teams to ensure accurate implementation.
  - Maintain technical documentation for code, workflows, and deployment processes.
  - Pull from and push code to GitHub repositories, following version control and branching best practices.

   

• Mandatory Skills Description:

  - 5+ years of experience in data engineering roles
  - Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience).
  - 4+ years of experience with Databricks data pipelines
  - Strong hands-on experience with PySpark and/or Apache Spark.
  - Experience working with CI/CD pipelines and DevOps best practices.
  - Proficiency with CI/CD, GitHub (pull requests, branching, code reviews).
  - Experience writing unit tests and performing data validation
  - Experience supporting production systems and deployments
  - Strong analytical and troubleshooting skills.

Client

Our client is one of the world’s top 20 investment companies headquartered in Great Britain, with branch offices in the US, Asia, and Europe.

Project overview

The company’s IT environment is constantly growing, with around 30 programs and more than 60 active projects. They are building a data marketplace that aggregates and analyzes data from multiple sources such as stock exchanges, news feeds, brokers, and internal quantitative systems.

As the company moves to a new data source, the main goal of this project is to create a golden source of data for all downstream systems and applications. The team is performing classic ELT/ETL: transforming raw data from multiple sources (third-party and internal) and creating a single interface for delivering data to downstream applications.

Position overview

We are looking for a Data Engineer with strong expertise in DBT, Snowflake, and modern data engineering practices. In this role, you will design and implement scalable data models, build robust ETL/ELT pipelines, and ensure high-quality data delivery for critical investment management applications.

Responsibilities

• Design, build, and deploy DBT Cloud models.
• Design, build, and deploy Airflow jobs (Astronomer).
• Identify and test for bugs and bottlenecks in the ELT/ETL solution.

Requirements

• 5+ years of experience in software engineering (GIT, CI/CD, Shell scripting).
• 3+ years of experience building scalable and robust Data Platforms (SQL, DWH, Distributed Data Processing).
• 2+ years of experience developing in DBT Core/Cloud.
• 2+ years of experience with Snowflake.
• 2+ years of experience with Airflow.
• 2+ years of experience with Python.
• Good spoken English.

Nice to have

• Proficiency in message queues (Kafka).
• Experience with cloud services (Azure).
• CI/CD knowledge (Jenkins, Groovy scripting).

Project description

We are seeking a skilled, hands-on Data Engineer with demonstrated experience in Databricks, Apache Spark, Python, and real-time data streaming solutions.

Responsibilities

Implement resource composition logic provided by the Product team into scalable and efficient PySpark code.

Develop, optimize, and maintain PySpark applications within the Databricks environment.

Utilize and maintain existing CI/CD pipelines in Databricks for automated build, testing, and deployment.

Write and maintain unit tests to ensure high code quality and reliability.

Perform data validation and quality checks to ensure compliance with defined business rules

Support and manage production deployments, ensuring system stability and performance.

Troubleshoot and resolve issues across development, testing, and production environments.

Collaborate with Product, QA, DevOps, and healthcare domain teams to ensure accurate implementation.

Maintain technical documentation for code, workflows, and deployment processes.

Pull from and push code to GitHub repositories, following version control and branching best practices.

Skills

Must have

5+ years of experience in data engineering roles

Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience).

4+ years of experience with Databricks data pipelines

Strong hands-on experience with PySpark and/or Apache Spark.

Experience working with CI/CD pipelines and DevOps best practices.

Proficiency with CI/CD, GitHub (pull requests, branching, code reviews).

Experience writing unit tests and performing data validation

Experience supporting production systems and deployments

Strong analytical and troubleshooting skills.

Nice to have

Knowledge of FHIR (Fast Healthcare Interoperability Resources) standards.

Experience with healthcare data integration projects.

Familiarity with REST APIs and FHIR server integrations.

Experience in Agile/Scrum development environments.

Languages

English: C1 Advanced

Project Description:

We are seeking a skilled, hands-on Data Engineer with demonstrated experience in Databricks, Apache Spark, Python, and real-time data streaming solutions.

Responsibilities:

- Implement resource composition logic provided by the Product team into scalable and efficient PySpark code.

- Develop, optimize, and maintain PySpark applications within the Databricks environment.

- Utilize and maintain existing CI/CD pipelines in Databricks for automated build, testing, and deployment.

- Write and maintain unit tests to ensure high code quality and reliability.

- Perform data validation and quality checks to ensure compliance with defined business rules

- Support and manage production deployments, ensuring system stability and performance.

- Troubleshoot and resolve issues across development, testing, and production environments.

- Collaborate with Product, QA, DevOps, and healthcare domain teams to ensure accurate implementation.

- Maintain technical documentation for code, workflows, and deployment processes.

- Pull from and push code to GitHub repositories, following version control and branching best practices.

Mandatory Skills Description:

- 5+ years of experience in data engineering roles

- Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience).

- 4+ years of experience with Databricks data pipelines

- Strong hands-on experience with PySpark and/or Apache Spark.

- Experience working with CI/CD pipelines and DevOps best practice.

 Proficiency with CI/CD, GitHub (pull requests, branching, code reviews).

- Experience writing unit tests and performing data validation

- Experience supporting production systems and deployments

- Strong analytical and troubleshooting skills.

Nice-to-Have Skills Description:

- Knowledge of FHIR (Fast Healthcare Interoperability Resources) standards.

- Experience with healthcare data integration projects.

- Familiarity with REST APIs and FHIR server integrations.

- Experience in Agile/Scrum development environments.

We are looking for an experienced Data Engineer to join a long-term B2C project. The main focus is on building Zero ETL pipelines, as well as maintaining and improving existing ones.

Responsibilities:
- Build and maintain scalable Zero ETL pipelines.
- Design and optimize data warehouses and data lakes on AWS (Glue, Firehose, Lambda, SageMaker).
- Work with structured and unstructured data, ensuring quality and accuracy.
- Optimize query performance and data processing workflows (Spark, SQL, Python).
- Collaborate with engineers, analysts, and business stakeholders to deliver data-driven solutions.

Requirements:
- 5+ years of experience in Data Engineering.
- Advanced proficiency in Spark, Python, SQL.
- Expertise with AWS Glue, Firehose, Lambda, SageMaker.
- Experience with ETL tools (dbt, Airflow etc.).
- Background in B2C companies is preferred.
- JavaScript and Data Science knowledge are a plus.
- Degree in Computer Science (preferred, not mandatory).

We offer:
- remote time job, B2B contract
- 12 sick leaves and 18 paid vacation business days per year
- Comfortable work conditions (including MacBook Pro and Dell monitor on each workplace)
- Smart environment
- Interesting projects from renowned clients
- Flexible work schedule
- Competitive salary according to the qualifications
- Guaranteed full workload during the term of the contract
 

Description

The GlobalLogic technology team is focused on next-generation health capabilities that align with the client’s mission and vision to deliver Insight-Driven Care. This role operates within the Health Applications & Interoperability subgroup of our broader team, with a focus on patient engagement, care coordination, AI, healthcare analytics, and interoperability. These advanced technologies enhance our product portfolio with new services while improving clinical and patient

experiences.

Requirements

An AWS Data Engineer designs, develops, and maintains scalable data solutions using AWS cloud services.

Key Responsibilities:
    • Design, build, and manage ETL (Extract, Transform, Load) pipelines using AWS services (e.g., Glue, Lambda, EMR, Redshift, S3).
    • Develop and maintain data architecture (data lakes, warehouses, databases) on AWS.
    • Implement data quality and governance solutions.
    • Automate data workflows and monitor pipeline health.
    • Ensure data security and compliance with company policies.
Required Skills:
    • Proficiency with AWS cloud services, especially data-related offerings (S3, Glue, Redshift, Athena, EMR, Kinesis, Lambda).
    • Strong SQL and Python skills.
    • Experience with ETL tools and frameworks.
    • Familiarity with data modelling and warehousing concepts.
    • Knowledge of data security, access management, and best practices in AWS.
Preferred Qualifications:
    • AWS certifications (e.g., AWS Certified Data Analytics – Speciality, AWS Certified Solutions Architect).
    • Background in software engineering or data science.

• Hands-on experience with Oracle Database and log-based Change Data Capture (CDC) replication using AWS Database Migration Service (DMS) for near real-time data ingestion.

Job responsibilities

– Develops, documents, and configures systems specifications that conform to defined architecture standards, address business requirements, and processes in the cloud development & engineering.

– Involved in planning of system and development deployment, as well as responsible for meeting compliance and security standards.

– API development using AWS services in a scalable, microservices-based architecture

– Actively identifies system functionality or performance deficiencies, executes changes to existing systems, and tests functionality of the system to correct deficiencies and maintain more effective data handling, data integrity, conversion, input/output requirements, and storage.

– May document testing and maintenance of system updates, modifications, and configurations.

– May act as a liaison with key technology vendor technologists or other business functions.

– Function Specific: Strategically design technology solutions that meet the needs and goals of the company and its customers/users.

– Leverages platform process expertise to assess if existing standard platform functionality will solve a business problem or if a customisation solution would be required.

– Test the quality of a product and its ability to perform a task or solve a problem.

– Perform basic maintenance and performance optimisation procedures in each of the primary operating systems.

– Ability to document detailed technical system specifications based on business system requirements

– Ensures system implementation compliance with global & local regulatory and security standards (i.e. HIPAA, SOCII, ISO27001, etc.)

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.

We are looking for an experienced AEP / AJO Engineer / Developer / Specialist / Consultant to join our team and work on customer data and real-time personalization solutions for international clients.

This role sits at the intersection of data engineering, marketing technology, and customer experience, with a strong focus on building and maintaining data flows and activating data through journeys.

You will be working with Adobe Experience Platform (AEP) and Adobe Journey Optimizer (AJO) in production environments.

Responsibilities

• Design and implement data ingestion pipelines (batch & streaming) into AEP
• Configure and maintain XDM schemas, datasets, and identity resolution
• Work with Real-Time Customer Profile and ensure data consistency across sources
• Build and optimize audiences and segmentation logic
• Implement and maintain event-driven customer journeys in AJO
• Integrate AEP with external systems via REST APIs and streaming mechanisms
• Troubleshoot and resolve issues related to data flows, latency, and activation
• Collaborate with data, marketing, and product teams to deliver scalable solutions

Requirements

• 2+ years of hands-on experience with AEP and AJO
• Strong understanding of data engineering concepts (ETL/ELT, streaming, pipelines)
• Experience with data modeling (preferably XDM or similar schema systems)
• Solid SQL skills (data validation, segmentation logic, troubleshooting)
• Experience working with APIs, JSON, and integrations
• Understanding of event-driven architectures

Nice to have

• Experience with:
  • Adobe Analytics
  • Adobe Target
  • Adobe Campaign
• Experience with cloud platforms (AWS / Azure / GCP)
• Familiarity with tag management tools like Adobe Launch
• Experience with other CDPs (e.g. Salesforce Data Cloud, Segment)
• Basic scripting (JavaScript / Python)

What we’re looking for

• Strong ownership and ability to work independently
• Attention to data quality and system reliability
• Ability to bridge business requirements and technical implementation
• Experience working in distributed teams

What we offer

• B2B full-time/part-time collaboration model
• Remote-first setup
• Collaborative and supportive team environment
• Opportunity to work with international, well-known clients in distributed teams, building solutions on a modern data & marketing technology stack
• Be part of a highly specialized and fast-growing domain, building expertise in a niche area 

Interested in joining our team?

If this opportunity sounds interesting to you and you’d like to be part of our growing team — feel free to share your CV along with your expected rate.

We’re looking for an experienced Data Engineer to build and scale the data infrastructure behind a fast-growing online education platform. This is a hands-on role with significant ownership, where you’ll play a key part in transforming raw data into actionable insights that drive business decisions and improve user experience.

You’ll work closely with a small, collaborative team of 5 people and operate as an independent contributor—selecting tools, designing systems, and ensuring everything runs efficiently. We embrace modern technologies, including AI tools, and continuously integrate them into our workflows.

What to do:

• Design, build, and maintain scalable data pipelines (ETL/ELT)
• Develop and manage data infrastructure for analytics and reporting
• Organize and structure data for easy access and usability
• Enable real-time or near-real-time insights for marketing, sales, and customer success teams
• Ensure data quality, reliability, and performance across systems
• Collaborate with cross-functional teams to understand data needs and deliver solutions
• Take ownership of the data ecosystem, from architecture to optimization

Expected experience:

• 4+ years of experience in Data Engineering or a similar role
• Strong proficiency in Python
• Hands-on experience with ETL/ELT pipelines
• Experience working with NoSQL databases
• Solid understanding of data modeling and data architecture
• Experience building scalable and reliable data systems
• Comfortable working independently in a startup environment

Will be a plus:

• Experience with modern data stack tools (e.g., Airflow, dbt, Snowflake, BigQuery)
• Familiarity with real-time data processing and streaming technologies
• Experience integrating or working with AI/ML tools in data workflows
• Knowledge of cloud platforms (AWS, GCP, or Azure)
• Background in analytics for product, marketing, or customer success teams

What we offer:

• Great team and excellent environment, that will help you to improve your soft skills;

• Flexible working schedule. We respect your personal time;

• Paid vacations, sick leaves;

• Bookkeeping and accounting will be maintained by the professional accountant;

• Educational opportunities;

Interview Stages:

1. Interview with Head of HR 
2. Interview with CEO and CTO
3. Interview with the client

About the Role
 

Company domain - automotive industry.
We are looking for Data Engineers to join a managed service team delivering modern data products.
 

The role is focused on hands-on implementation under defined standards and senior guidance. You will contribute to building data products, ensuring quality and compliance with established frameworks.
 

Responsibilities
 

• Implement pipelines and data transformations
• Build analytical and source-aligned data products
• Follow established standards (data contracts, modeling patterns, testing strategies)
• Work in cross-functional domain teams
• Participate in pair-programming and knowledge transfer
• Support monitoring and operational excellence of delivered data products
   

Required Technical Stack
 

Mandatory experience with:
 

• AWS
• Azure
• Snowflake
• dbt
• Witboost
• Dreamio
• Modern ELT/ETL practices
• CI/CD in data environments
• Automated testing for data pipelines
   

Required Experience
 

• 1–3 years in Data Engineering
• Previous assignments delivering pipelines and data products
• Familiarity with Data Mesh
• Basic understanding of DataOps
• Understanding of governance, lineage, SLAs
• Comfortable working in Agile cross-functional teams

The CHI Software team is not standing still. We love our job and give it one hundred percent of us! Every new project is a challenge that we face successfully. The only thing that can stop us is… Wait, it’s nothing! The number of projects is growing, and with them, our team too. And now we need a Data Engineer.
 

Project Description:

It is a real-time data processing and analytics solution for a high-traffic web application. 
Tech stack.
AWS: AWS Glue Studio, Redshift, RDS, Airflow, AWS Step Function, Lambda, AWS Kinesis, Athena, Apache Iceberg, AWS Data Brew, S3, OpenSearch, Python, SQL, CI/CD, dbt, Snowflake

 Responsibilities:

• Design a scalable and robust AWS cloud architecture;
• Utilize AWS Kinesis for real-time data streaming and aggregation;
• Implemente AWS Lambda for serverless data processing, reducing operational costs;
• Configured AWS RDS (Relational Database Service) for structured data storage and AWS DynamoDB for NoSQL requirements;
• Ensured data security and compliance with AWS IAM (Identity and Access Management) and encryption services;
• Developed and deployed data pipelines using AWS Glue for ETL processes;
• Wrote Python scripts and SQL queries for data transformation and loading;
• Set up continuous integration and continuous deployment (CI/CD) pipelines using AWS CodePipeline and CodeBuild;
• Monitored system performance and data quality using AWS CloudWatch and custom logging solutions;
• Collaborated with other teams to integrate data sources and optimize data flow;
• Achieve a highly scalable real-time data processing system, resulting in a 40% increase in data analysis efficiency and a significant reduction in operational costs.
• Build ETL pipelines from S3 to AWS OpenSearch by AWS Glue
• Upper-Intermediate or higher English level.