data engineer in data solutions

EPAM provides enterprise software products, open source solutions, accelerators, and data solutions for international clients.

• Lead a team of data integration and ETL engineers, fostering a collaborative, innovation-driven culture;
• Manage sprint planning, resource allocation, and risk management;
• Conduct regular code reviews and establish testing frameworks for compliant, performant, and secure database code;
• Champion modern software development practices, including CI/CD, Git-based version control, modular code design, automated alerting, and monitoring;
• Architect end-to-end data pipeline solutions using serverless frameworks or hybrid setups;
• Establish pipeline scheduling and workflow orchestration with Apache Airflow, Astronomer, or cloud-native schedulers;
• Design, model, and maintain scalable corporate data systems, including OLAP, OLTP, Star/Snowflake schemas, Data Lakes, Lakehouses, and Data Meshes;
• Implement change data capture, micro-batching, delta extracts, and routine partition maintenance;
• Collaborate with product owners, enterprise architects, and business stakeholders to translate requirements into technical specifications and data-flow diagrams;
• Present technical architectures to C-level client executives, demonstrating ROI, architectural benefits, and performance gains.

• 5+ Years of experience in data management, database design, migration, storage, and advanced data modeling;
• Experience leading, mentoring, and developing data engineering teams;
• Deep hands-on experience with Talend, AWS Glue, Azure Data Factory, GCP Dataflow, or Apache NiFi;
• Strong experience with orchestration and scheduling engines, particularly Apache Airflow and Astronomer;
• Strong production coding skills in SQL, Python, PySpark, Pandas, Scala, SparkSQL, or Bash;
• Extensive knowledge of at least one major cloud platform: AWS, Azure, or GCP;
• Experience with big data warehousing engines such as Redshift, Snowflake, Google BigQuery, or Azure Synapse;
• Understanding of cloud security structures, including identity and access management, data masking, and RLS;
• Understanding of GDPR, HIPAA, and PI compliance standards;
• Ability to write technical design specifications, mapping documentation, and data lineage reports;
• Excellent verbal and written English communication at B2+/C1 level;
• Nice to have: Experience architecting fully serverless cloud data pipelines, exposure to integrating machine learning models, computer vision, or generative AI workflows into data pipeline ingestion processes, professional certifications in Cloud Architecture, Talend, or Airflow.

• Remote work in Georgia and 4 other locations.