Luxoft

Project Description:

A next-generation cross-asset data management platform to provide globally consistent data and innovative tools to support business strategy for trade/sales clients, which is built on big data architecture, highly scalable, and cloud-ready. The platform enables industry-leading analytics, client reporting, regulatory compliance, surveillance, supervisory reporting, and data science solutions (data flame). The project tech stack: Java, Scala, Spring, SQL, Kafka, Hadoop.

We are looking for a strong Senior Java Developer capable of being able to work within the team, being a mentor for team members, communicating with stakeholders, and being accountable for the outcomes of activities that are assigned.

The role of the involves working with strong development teams (2 Senior Java Developers), the opportunity to work with big data, improving knowledge in this domain, and utilizing the resources of an international bank.

Responsibilities:

• Design and build frameworks for ingesting/modeling the complex Risk data
• Develop Low latency caching to service Front office risk systems
• Setup monitoring and management for services
• Provide SME support for development of automated QA scripts

Mandatory Skills Description:

• Strong knowledge of Big Data technologies: Hadoop Ecosystem (HDFS, Impala, HIVE, HBASE, etc.) and Apache Spark. Green flags: Spark, Hive, Hadoop.
• At least 5 years of experience in software development, including professional backend software development experience;
• Strong Knowledge of Java programming languages
• Should be familiar with algorithms and design patterns
• Familiarity with Linux environment, including scripting skills
• Designing and building APIs (Java);
• Java Server-side or Back-end development;
• Core Java;
• Java collections and multithreading;
• Java Memory Management;
• Database and SQL (writing stored procedures, designing table schemas).
• Understanding of distributed systems.
• Understanding of CI/CD workflow.

• Ability to multi-task and work under pressure.
• Ability to pick up new concepts and apply the knowledge.
• Demonstrated problem-solving skills.
• Enthusiastic and proactive approach with a willingness to learn.
• The candidate is expected to be dynamic and flexible with a high energy level as this is a demanding and rapidly changing environment

Nice-to-Have Skills Description:

• Experience In-memory databases and caching
• Job Orchestration tools like Autosys or Airflow
• Apache Spark
• Financial background (where possible)

We are looking for a strong Java-focused SDET who is comfortable working close to the application code. Not only a test writer, but someone who can design and extend automation infrastructure. Able to understand how another application consumes the SDK / DevKit and convert those flows into stable integration tests.

Comfortable debugging complex Java behavior, reading production code, and discussing implementation details with developers.

Strong enough technically to help choose and implement the right Swing UI automation approach.

• Responsibilities:

  - Design, implement, and maintain Java-based integration tests for a geoscience data management application.
  - Simulate real product usage through the application's SDK / DevKit layer.
  - Analyze SDK-level calls from consuming applications and convert them into automated integration test scenarios.
  - Create and maintain unit tests using JUnit and related Java testing tools.
  - Validate data retrieval, consistency, error handling, and compatibility across database-backed workflows.
  - Contribute to the design of a Swing UI automation approach for Windows and Linux.
  - Investigate test failures, debug Java code, analyze logs, and provide clear root-cause findings.
  - Integrate automated tests into CI/CD pipelines and improve overall test stability and maintainability.

• Mandatory Skills Description:

  - Strong hands-on experience with Java.
  - Solid understanding of object-oriented programming, clean code principles, and maintainable test architecture.
  - Experience with JUnit, AssertJ, Mockito, or similar Java testing tools.
  - Solid experience designing unit/integration/E2E tests for complex Java applications.
  - Experience with JNI
  - Ability to test through SDKs, DevKits, APIs, or internal service layers.
  - Good SQL knowledge and experience with relational databases.
  - Strong debugging skills in Java applications.
  - Experience with Maven or Gradle.
  - Experience with Git and CI/CD pipelines (preferably, Gitlab CI).
  - Proficiency with AI tools
  - Ability to analyze API calls, data flows, logs, and application behavior to convert real usage scenarios into automated tests.

• Nice-to-Have Skills Description:

  - Java Swing UI automation.
  - Experience with Java Access Bridge, AssertJ Swing, or similar tools.
  - Basic exposure in C++
  - Cross-platform testing on Windows and Linux.
  - JVM instrumentation, reflection, Java agents, or injecting test/control logic into a running Java application.
  - Experience building custom test automation frameworks.
  - Experience testing SDKs, libraries, plugins, or developer-facing APIs.
  - Isolated database test environments.
  - Experience with geoscience, seismic, well data, or enterprise data management systems.

• Project Description:

  A next-generation cross-asset data management platform to provide globally consistent data and innovative tools to support business strategy for trade/sales clients that is built on big data architecture, highly scalable, and cloud-ready. The platform enables industry-leading analytics, client reporting, regulatory compliance, surveillance, supervisory reporting, and data science solutions (data flame). 
  The project tech stack: Apache Spark, Hive, Java, Scala, Spring, SQL, Kafka, Hadoop.
  We are looking for a strong Senior Java Developer with Big Data experience (Hadoop, Spark) capable of build the design and establish the framework in order to expose and distribute the Risk data to wide variety of consumers including Finance, Front office Risk Systems, Trading Systems, Back office and Account systems. This should cover low latency access and Streaming, Push / Pull mechanisms depending on the type of consumers.
  The role of the Senior Java Developer involves working with strong development teams (3 Senior Java Developers), the opportunity to work with big data improving knowledge in this domain utilizing the resources of an international bank.

• Responsibilities:

  • Design and build frameworks for ingesting/modeling the complex Risk data
  • Develop Low latency caching to service Front office risk systems

• Mandatory Skills Description:

  • At least 5 years of experience in software development, including professional backend software development experience;
  • Strong Knowledge of the Java programming languages
  • Understanding Java dependency injection frameworks, preferably Spring
  • Strong SQL skills
  • 1+ year of Big data development with extensive hands-on experience with Spark programming
  • Strong knowledge of big data technologies like Hadoop (Hive) and Spark
  • Understanding Data governance
  • Should be familiar with algorithms and design patterns
  • Understanding of distributed systems.
  • Understanding of CI/CD workflow.
  • Familiarity with the Linux environment, including scripting skills

• Nice-to-Have Skills Description:

  • Databricks and cloud services, preferably aws/gcp
  • Experience with in-memory databases and caching
  • Data modeling: fact, dimension tables, SCD
  • Understanding of open table formats: iceberg, delta lake, hudi
  • Understanding of open file formats: parquet, orc
  • Job Orchestration tools like Autosys or Airflow
  • Financial background (where possible)

• Languages:
  • English: B2 Upper Intermediate

A next-generation cross-asset data management platform to provide globally consistent data and innovative tools to support business strategy for trade/sales clients, which is built on big data architecture, highly scalable, and cloud-ready. The platform enables industry-leading analytics, client reporting, regulatory compliance, surveillance, supervisory reporting, and data science solutions (data flame). The project tech stack: Java, Scala, Spring, SQL, Kafka, Hadoop.

We are looking for a strong Senior Java Developer capable of being able to work within the team, being a mentor for team members, communicating with stakeholders, and being accountable for the outcomes of activities that are assigned.

The role of the involves working with strong development teams (2 Senior Java Developers), the opportunity to work with big data, improving knowledge in this domain, and utilizing the resources of an international bank.

Responsibilities:

• Design and build frameworks for ingesting/modeling the complex Risk data
• Develop Low latency caching to service Front office risk systems
• Setup monitoring and management for services
• Provide SME support for development of automated QA scripts
 

Mandatory Skills:

• Strong knowledge of Big Data technologies Hadoop Ecosystem (HDFS, Impala, HIVE, HBASE, etc.) and Apache Spark
• At least 5 years of experience in software development, including professional backend software development experience;
• Strong Knowledge of Java programming languages
• Should be familiar with algorithms and design patterns
• Familiarity with Linux environment, including scripting skills
• Designing and building APIs (Java);
• Java Server-side or Back-end development;
• Core Java;
• Java collections and multithreading;
• Java Memory Management;
• Database and SQL (writing stored procedures, designing table schemas).
• Understanding of distributed systems.
• Understanding of CI/CD workflow.

• Ability to multi-task and work under pressure.
• Ability to pick up new concepts and apply the knowledge.
• Demonstrated problem-solving skills.
• Enthusiastic and proactive approach with a willingness to learn.
• The candidate is expected to be dynamic and flexible with a high energy level as this is a demanding and rapidly changing environment

Nice-to-Have Skills:

• Experience In-memory databases and caching
• Job Orchestration tools like Autosys or Airflow
• Apache Spark
• Financial background (where possible)

A next-generation cross-asset data management platform to provide globally consistent data and innovative tools to support business strategy for trade/sales clients, which is built on big data architecture, highly scalable, and cloud-ready. The platform enables industry-leading analytics, client reporting, regulatory compliance, surveillance, supervisory reporting, and data science solutions (data flame). The project tech stack: Java, Scala, Spring, SQL, Kafka, Hadoop.

We are looking for a strong Senior Java Developer capable of being able to work within the team, being a mentor for team members, communicating with stakeholders, and being accountable for the outcomes of activities that are assigned.

The role of the involves working with strong development teams (2 Senior Java Developers), the opportunity to work with big data, improving knowledge in this domain, and utilizing the resources of an international bank.

• Responsibilities:

  • Design and build frameworks for ingesting/modeling the complex Risk data
  • Develop Low latency caching to service Front office risk systems
  • Setup monitoring and management for services
  • Provide SME support for development of automated QA scripts

• Mandatory Skills Description:

  • Strong knowledge of Big Data technologies: Hadoop Ecosystem (HDFS, Impala, HIVE, HBASE, etc.) and Apache Spark. Green flags: Spark, Hive, Hadoop.
  • At least 5 years of experience in software development, including professional backend software development experience;
  • Strong Knowledge of Java programming languages
  • Should be familiar with algorithms and design patterns
  • Familiarity with Linux environment, including scripting skills
  • Designing and building APIs (Java);
  • Java Server-side or Back-end development;
  • Core Java;
  • Java collections and multithreading;
  • Java Memory Management;
  • Database and SQL (writing stored procedures, designing table schemas).
  • Understanding of distributed systems.
  • Understanding of CI/CD workflow.
  
  • Ability to multi-task and work under pressure.
  • Ability to pick up new concepts and apply the knowledge.
  • Demonstrated problem-solving skills.
  • Enthusiastic and proactive approach with a willingness to learn.
  • The candidate is expected to be dynamic and flexible with a high energy level as this is a demanding and rapidly changing environment

• Nice-to-Have Skills Description:

  • Experience In-memory databases and caching
  • Job Orchestration tools like Autosys or Airflow
  • Apache Spark
  • Financial background (where possible)

One of the world's largest providers of products and services to the energy industry has a need to develop and support enterprise systems in the Oil&Gas domain.
We are looking for a highly motivated and self-organized QA automation engineer to join our team and integrate the automation process into the existing SDLC.

Responsibilities

Lead quality assurance strategy and execution for web applications deployed on AWS and Azure

cloud platforms. Drive test automation initiatives achieving >80% coverage, mentor junior QA

engineers, and ensure delivery excellence across the software development lifecycle. Collaborate

with Product, Development, and DevOps teams to embed quality practices from design through

production deployment.

Skills

Must have

5–7 years of QA experience for web applications in Agile/Scrum

Web testing: functional, regression, integration/system testing; E2E, smoke/sanity, exploratory, risk-based testing

Test automation (2+ years) with Cypress using JavaScript&TypeScript

REST API testing (Postman, REST Assured, or similar); validation of status codes/schemas/error handling; auth testing (OAuth2/JWT/SSO)

CI/CD integration and automated test execution in pipelines (GitLab CI, Azure DevOps Pipelines, or Jenkins)

Cloud deployment validation on AWS and Azure

Test/defect management tools (Azure DevOps Test Plans/Boards or equivalent)

Version control: Git (GitLab/GitHub)

Scripting and data validation: Python and/or Bash; basic SQL for database checks

Leadership: driving QA initiatives, mentoring, defining quality gates, defect triage

Nice to have

Performance/load testing (k6, JMeter, Gatling)

Security testing awareness (OWASP Top 10; Burp Suite / OWASP ZAP / Snyk)

Docker/Kubernetes validation testing

Observability/monitoring tools (CloudWatch, Azure Monitor, Datadog, New Relic, ELK/Splunk)

GraphQL API testing and/or contract testing

Experience with large datasets/ETL validation, Kafka/event-driven systems, or geospatial data testing

Domain exposure to Oil & Gas / Energy software is a plus

• We are looking for an experienced C++ / backend engineer to join on a short-term, time-bound basis to lead refactoring and modernization work on a mature desktop application. The product has a large, cross-platform C++ codebase (~500k lines of code plus third-party dependencies) built on Qt5. The primary goal of the engagement is to modernize the build toolchain and dependency stack, with the migration to Apple Silicon as the top priority.
  
  Not all of the tasks below are guaranteed to be completed within the engagement. At a minimum, the Intel → Apple Silicon migration must be delivered; remaining items will be prioritized based on time and progress.
   

• Responsibilities:

  Migrate the macOS build of the application from an Intel to an Apple Silicon build (C++ codebase, ~500k LOC plus third-party libraries, Qt5).
  Migrate third-party libraries from Conan 1.x to Conan 2 across the Windows, macOS, and Linux builds.
  Update the Linux build to use Clang 19 (from Clang 11) and move the build to Ubuntu 24.04.
  Update selected third-party libraries to recent versions to meet security requirements.
  Migrate the codebase from C++17 to C++20.
   

• Mandatory Skills Description:

  Proficiency in modern C++ (17/20) and cross-platform development across Windows, macOS, and Linux.
  Strong experience with CMake and build-system toolchain configuration.
  Hands-on knowledge of the Conan package manager.
  Familiarity with the Clang / LLVM toolchain.
  Experience with Qt5 application development and macOS packaging / code signing.
  Comfortable working with Docker-based CI/CD pipelines and large legacy codebases.

The position is in TAM SSC (Talent Acquisition and Management Shared Services Center) - an international department responsible for supporting HR and administration processes for different countries within the company.
Our team: a cross-regional and cross-cultural team of ~20 people based in 3 countries (Ukraine, Serbia, India).
Technologies used: MS Excel as the main tool, MS Word, MS PowerPoint, and Internal Systems.

• Responsibilities:

  • Qualified HR services implementation for employees in different regions (countries) of DXC Luxoft presence.
  • Support, organization, and performing of different types of HR personnel processing in foreign company's locations (onboarding, transfers, vacations, sick leaves, terminations) - (there is specially prepared good supervision program for newly hired employees to teach and help them to cope with subtle details of international personnel processing).
  • Employees' files handling in internal informational systems.

• Mandatory Skills Description:

  • Graduate with work experience in HR area more than 1 year.
  • Fluent English (written/spoken).
  • Knowledge of MS Excel, experience in preparation of presentations in MS PowerPoint as well as working knowledge of MS Outlook and MS Word.
  • Proactive, well-organized, and result-oriented person.
  • Mature personality, excellent communication, and organization skills.
  • Readiness to work overtime if needed.
  • Strong task management.

• Nice-to-Have Skills Description:

  Work experience in a large multinational company.
  Knowledge of the German language.

We are looking for an experienced C++ / backend engineer to join on a short-term, time-bound basis to lead refactoring and modernization work on a mature desktop application. The product has a large, cross-platform C++ codebase (~500k lines of code plus third-party dependencies) built on Qt5. The primary goal of the engagement is to modernize the build toolchain and dependency stack, with the migration to Apple Silicon as the top priority.

Not all of the tasks below are guaranteed to be completed within the engagement. At a minimum, the Intel → Apple Silicon migration must be delivered; remaining items will be prioritized based on time and progress.

• Responsibilities:

  Migrate the macOS build of the application from an Intel to an Apple Silicon build (C++ codebase, ~500k LOC plus third-party libraries, Qt5).
  Migrate third-party libraries from Conan 1.x to Conan 2 across the Windows, macOS, and Linux builds.
  Update the Linux build to use Clang 19 (from Clang 11) and move the build to Ubuntu 24.04.
  Update selected third-party libraries to recent versions to meet security requirements.
  Migrate the codebase from C++17 to C++20.

• Mandatory Skills Description:

  Proficiency in modern C++ (17/20) and cross-platform development across Windows, macOS, and Linux.
  Strong experience with CMake and build-system toolchain configuration.
  Hands-on knowledge of the Conan package manager.
  Familiarity with the Clang / LLVM toolchain.
  Experience with Qt5 application development and macOS packaging / code signing.
  Comfortable working with Docker-based CI/CD pipelines and large legacy codebases.

Project description

We are looking for an experienced C++ / backend engineer to join on a short-term, time-bound basis to lead refactoring and modernization work on a mature desktop application. The product has a large, cross-platform C++ codebase (~500k lines of code plus third-party dependencies) built on Qt5. The primary goal of the engagement is to modernize the build toolchain and dependency stack, with the migration to Apple Silicon as the top priority.
Not all of the tasks below are guaranteed to be completed within the engagement. At a minimum, the Intel → Apple Silicon migration must be delivered; remaining items will be prioritized based on time and progress.

Responsibilities

Migrate the macOS build of the application from an Intel to an Apple Silicon build (C++ codebase, ~500k LOC plus third-party libraries, Qt5).

Migrate third-party libraries from Conan 1.x to Conan 2 across the Windows, macOS, and Linux builds.

Update the Linux build to use Clang 19 (from Clang 11) and move the build to Ubuntu 24.04.

Update selected third-party libraries to recent versions to meet security requirements.

Migrate the codebase from C++17 to C++20.

Skills

Must have

Proficiency in modern C++ (17/20) and cross-platform development across Windows, macOS, and Linux.

Strong experience with CMake and build-system toolchain configuration.

Hands-on knowledge of the Conan package manager.

Familiarity with the Clang / LLVM toolchain.

Experience with Qt5 application development and macOS packaging / code signing.

Comfortable working with Docker-based CI/CD pipelines and large legacy codebases.

Nice to have

Prior experience migrating desktop applications to Apple Silicon.

Experience upgrading dependency managers (Conan 1.x → 2.x) on production build systems.

Languages

English: B2 Upper Intermediate

• Project Description:

  We are looking for an experienced C++ / backend engineer to join on a short-term, time-bound basis to lead refactoring and modernization work on a mature desktop application. The product has a large, cross-platform C++ codebase (~500k lines of code plus third-party dependencies) built on Qt5. The primary goal of the engagement is to modernize the build toolchain and dependency stack, with the migration to Apple Silicon as the top priority.
  
  Not all of the tasks below are guaranteed to be completed within the engagement. At a minimum, the Intel → Apple Silicon migration must be delivered; remaining items will be prioritized based on time and progress.

• Responsibilities:

  Migrate the macOS build of the application from an Intel to an Apple Silicon build (C++ codebase, ~500k LOC plus third-party libraries, Qt5).
  Migrate third-party libraries from Conan 1.x to Conan 2 across the Windows, macOS, and Linux builds.
  Update the Linux build to use Clang 19 (from Clang 11) and move the build to Ubuntu 24.04.
  Update selected third-party libraries to recent versions to meet security requirements.
  Migrate the codebase from C++17 to C++20.

• Mandatory Skills Description:

  Proficiency in modern C++ (17/20) and cross-platform development across Windows, macOS, and Linux.
  Strong experience with CMake and build-system toolchain configuration.
  Hands-on knowledge of the Conan package manager.
  Familiarity with the Clang / LLVM toolchain.
  Experience with Qt5 application development and macOS packaging / code signing.
  Comfortable working with Docker-based CI/CD pipelines and large legacy codebases.

• Nice-to-Have Skills Description:

  Prior experience migrating desktop applications to Apple Silicon.
  Experience upgrading dependency managers (Conan 1.x → 2.x) on production build systems.

• Languages:
  • English: B2 Upper Intermediate

• Project Description:

  A next-generation cross-asset data management platform to provide globally consistent data and innovative tools to support business strategy for trade/sales clients, which is built on big data architecture, highly scalable, and cloud-ready. The platform enables industry-leading analytics, client reporting, regulatory compliance, surveillance, supervisory reporting, and data science solutions (data flame). The project tech stack: Java, Scala, Spring, SQL, Kafka, Hadoop.
  
  We are looking for a strong Senior Java Developer capable of being able to work within the team, being a mentor for team members, communicating with stakeholders, and being accountable for the outcomes of activities that are assigned.
  
  The role of the involves working with strong development teams (2 Senior Java Developers), the opportunity to work with big data, improving knowledge in this domain, and utilizing the resources of an international bank.

• Responsibilities:

  • Design and build frameworks for ingesting/modeling the complex Risk data
  • Develop Low latency caching to service Front office risk systems
  • Setup monitoring and management for services
  • Provide SME support for development of automated QA scripts

• Mandatory Skills Description:

  • Strong knowledge of Big Data technologies: Hadoop Ecosystem (HDFS, Impala, HIVE, HBASE, etc.) and Apache Spark. Green flags: Spark, Hive, Hadoop.
  • At least 5 years of experience in software development, including professional backend software development experience;
  • Strong Knowledge of Java programming languages
  • Should be familiar with algorithms and design patterns
  • Familiarity with Linux environment, including scripting skills
  • Designing and building APIs (Java);
  • Java Server-side or Back-end development;
  • Core Java;
  • Java collections and multithreading;
  • Java Memory Management;
  • Database and SQL (writing stored procedures, designing table schemas).
  • Understanding of distributed systems.
  • Understanding of CI/CD workflow.
  
  • Ability to multi-task and work under pressure.
  • Ability to pick up new concepts and apply the knowledge.
  • Demonstrated problem-solving skills.
  • Enthusiastic and proactive approach with a willingness to learn.
  • The candidate is expected to be dynamic and flexible with a high energy level as this is a demanding and rapidly changing environment

• Nice-to-Have Skills Description:

  • Experience In-memory databases and caching
  • Job Orchestration tools like Autosys or Airflow
  • Apache Spark
  • Financial background (where possible)

• Languages:
  • English: C1 Advanced

We are seeking a Palantir Foundry & AIP Engineer with hands-on experience across the full Foundry ecosystem and Palantir’s Artificial Intelligence Platform (AIP). This role goes beyond data engineering: you will design, build, and operationalize AI-powered workflows, agents, and applications that drive tangible business outcomes. The ideal candidate is a self-starter, able to translate complex business needs into scalable technical solutions, and confident working directly with stakeholders to maximize the value of Foundry and AIP.

• Responsibilities:

  · Data & Workflow Engineering: Design, develop, and maintain scalable pipelines, transformations, and applications within Palantir Foundry.
  · AIP & AI Enablement:
  o Support the design and deployment of AIP use cases such as copilots, retrieval workflows, and decision-support agents.
  o Ground agents and logic flows using RAG (retrieval‐augmented generation) by connecting to relevant data sources, embedding/vector search, ontology content.
  o Use Ontology-Augmented Generation (OAG) when needed: operational decision making where logic, data, actions and relationships are embedded in the Ontology.
  o Collaborate with senior engineers on agent design, instructions, and evaluation using AIP’s native features.
  · End-to-End Delivery: Work with stakeholders to capture requirements, design solutions, and deliver working applications.
  · User Engagement: Provide training and support for business teams adopting Foundry and AIP.
  · Governance & Trust: Ensure solutions meet standards for data quality, governance, and responsible use of AI.
  · Continuous Improvement: Identify opportunities to expand AIP adoption and improve workflow automation.

• Mandatory Skills Description:

  Minimum 10 Years of experience in IT/Data.
  Minimum 5 years of experience as a Data Platform Engineer/Data Engineer.
  · 2+ years of professional experience with the Palantir Foundry ecosystem (data integration, ontology, pipelines, applications).
  · Strong technical skills in Python, PySpark, SQL, and data modelling.
  · Practical experience using or supporting AIP features such as RAG workflows, copilots, or agent-based applications.
  · Ability to work independently and engage directly with non-technical business users.
  · Strong problem-solving mindset and ownership of delivery.

• Nice-to-Have Skills Description:

  · Familiarity with AIP Agent Studio concepts (agents, instructions, tools, testing).
  · Exposure to AIP Evals and evaluation/test-driven approaches.
  · Experience with integration patterns (APIs, MCP, cloud services).
  · Consulting or applied AI/ML background.

The primary goal of the project is the modernization, maintenance and development of an eCommerce platform for a big US-based retail company, serving millions of omnichannel customers each week.

Solutions are delivered by several Product Teams focused on different domains - Customer, Loyalty, Search and Browse, Data Integration, Cart.

Current overriding priorities are new brands onboarding, re-architecture, database migrations, migration of microservices to a unified cloud-native solution without any disruption to business.

• Responsibilities:

  We are looking for Data Engineer who will be responsible for designing a solution for a big retail company. The main focus is to support processing of big data volumes and integrate solution to current architecture.

• Mandatory Skills Description:

  • Readiness to work until 8.00 pm CET (no need to do overtimes)
  • Overall years of experience required 8+ (at least 1+ year in a Lead/Architect position)
  • Strong, recent hands-on expertise with Azure Data Factory and Synapse is a must (3+ years).
  • Strong expertise in designing and implementing data models, including conceptual, logical, and physical data models, to support efficient data storage and retrieval.
  • Strong knowledge of Microsoft Azure, including Azure Data Lake Storage, Azure Synapse Analytics, Azure Data Factory, and Azure Databricks, pySpark for building scalable and reliable data solutions.
  • Extensive experience with building robust and scalable ETL/ELT pipelines to extract, transform, and load data from various sources into data lakes or data warehouses.
  • Ability to integrate data from disparate sources, including databases, APIs, and external data providers, using appropriate techniques such as API integration or message queuing.
  • Proficiency in designing and implementing data warehousing solutions (dimensional modeling, star schemas, Data Mesh, Data/Delta Lakehouse, Data Vault)
  • Proficiency in SQL to perform complex queries, data transformations, and performance tuning on cloud-based data storages.
  • Experience integrating metadata and governance processes into cloud-based data platforms
  • Certification in Azure, Databricks, or other relevant technologies is an added advantage
  • Experience with cloud-based analytical databases.
  • Experience with Azure MI, Azure Database for Postgres, Azure Cosmos DB, Azure Analysis Services, and Informix.
  • Experience with Python and Python-based ETL tools.
  • Experience with shell scripting in Bash, Unix or windows shell is preferable.
  • Demonstrated ability to lead cross-functional engineering teams, define technical strategy and architecture, drive delivery of complex data platforms, mentor engineers, and effectively communicate with stakeholders at all organizational levels.

Owns the technical direction, quality, and delivery enablement of the data platform within the team. Ensures scalable architecture, reliable releases, and strong engineering practices while enabling the team to deliver efficiently within defined engineering and release standards.

• Responsibilities:

  Architecture & Technical Ownership
  • Owns end-to-end technical design across Snowflake, dbt, ADF, and Azure components
  • Acts as the final technical decision authority within the team
  • Ensures alignment with enterprise architecture and data governance standards
  • Maintains architecture documentation and diagrams
  ________________________________________
  Engineering Excellence
  • Defines and enforces coding standards and best practices
  • Reviews critical PRs and ensures maintainability and scalability
  • Drives performance optimization and cost efficiency
  • Continuously improves development efficiency by reducing technical complexity and removing bottlenecks
  ________________________________________
  CI/CD & Release Ownership
  • Owns and improves CI/CD pipelines and deployment processes
  • Defines and enforces the release process, ensuring it is standardized and consistently followed
  • Establishes release criteria based on Definition of Done, testing, and required approvals
  • Ensures all changes meet release criteria before deployment to production
  • Oversees and coordinates production releases, including validation of readiness and risk assessment
  • Has authority to block releases that do not meet defined quality and governance standards
  • Ensures pipelines enforce quality gates (tests, validations, approvals where required)
  • Continuously improves release safety and reduces production incidents
  ________________________________________
  Quality & Definition of Done
  • Ensures adherence to Definition of Done (including testing and documentation)
  • Works with QA and team to ensure test coverage aligns with acceptance criteria
  ________________________________________
  Team Enablement & Mentoring
  • Mentors engineers and supports technical growth
  • Leads knowledge sharing and supports complex problem-solving
  ________________________________________
  Planning & Delivery Support
  • Contributes to sprint planning with technical estimates, risks, and dependencies
  • Owns identification and prioritization of technical debt in collaboration with the Product Owner
  ________________________________________
  Production Ownership
  • Leads incident analysis and root cause resolution
  • Ensures monitoring, alerting, and data quality validation mechanisms are in place across pipelines and in production
  • Maintains runbooks for operational readiness
  ________________________________________
  Ways of Working
  • Collaborates closely with Product Owner and Scrum Master to align technical delivery with business priorities; supports team continuity and helps facilitate meetings when the Scrum Master is absent
  • Proactively works with upstream data source teams and other squads to resolve cross-team dependencies, data issues, and production bugs
  • Drives technical alignment across teams/squads where shared data models, pipelines, or integrations are involved
  • Acts as the primary technical point of contact for external teams and stakeholders

• Mandatory Skills Description:

  7+ experience in Data Engineering and development of DWH solutions
  Hands-on experience with Snowflake, dbt, Azure Data Factory
  Experience with Azure Cloud Solutions, Azure DevOps
  Practical experience and understanding of CI/CD processes
  Experience of technical leadership in Agile SDLC

• Nice-to-Have Skills Description:

  Experience with AWS and/or GCP cloud solutions
  Certifications related to DWH