EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

We are seeking a skilled Data Integration Engineer to join our team and play a pivotal role in designing and implementing data integration solutions.

In this role, you will contribute to building data platforms using a blend of classic data technologies and modern cloud or hybrid data solutions. You will collaborate closely with product and engineering teams to understand data product requirements, evaluate new features, and architect solutions to drive decisions. Additionally, you will perform detailed analysis of business problems and technical environments to design high-quality technical solutions.

Responsibilities

• Designing and implementing Data Integration solutions, modelling databases, and contributing to building data platforms using classic Data technologies and tools as well as implementing modern Cloud or Hybrid data solutions
• Work with product and engineering teams to understand data product requirements, evaluate new features and architecture to help and drive decisions
• Perform detailed analysis of business problems and technical environments and use this in designing high-quality technical solutions
• Actively participate in code review and testing of solutions to ensure it meets specification and quality requirements, as well as a strong self-testing approach

Requirements

• 3+ years of relevant working experience
• Good knowledge of Data Integration concepts, batch integrations
• Practical experience with at least one database platform and one ETL technology
• General understanding of the purpose and main principles of dataflow orchestration tools, data replication tools and data preparation tools
• Good knowledge of Databases (SQL optimization, Relations, Stored Procedures, Transactions, Isolation Levels, etc.)
• Hands-on experience with data semantics (ERD) and data modeling
• Coding experience in one of the data-oriented programming languages: SQL, Python, SparkSQL, PySpark, Bash, etc
• Understanding of Data Platform concepts (Data Lake, Data Warehouse, Delta Lake/Lakehouse)
• Basic understanding of Data Governance aspects
• Good understanding of Data Security
• Understanding of CI/CD principles and best practices