We are searching for a seasoned Senior Data Software Engineer who can lead a dynamic team and drive the creation of data pipelines for a cutting-edge data platform.
This role requires strategic thinking, technical excellence, and a collaborative mindset to deliver robust data pipeline solutions that support training and inference processes.
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Responsibilities
- Lead the Data Software Engineering team, providing mentorship and technical guidance
- Design and implement scalable and efficient data pipelines using Airflow and Python
- Develop and optimize ETL processes to move and transform data into usable formats for training and inference
- Ensure collaboration and synergy with cross-functional teams in an agile development environment
- Translate feature requirements and data mappings into high-quality, maintainable code solutions
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- Minimum of 3 years' experience in Data Software Engineering
- Proficiency in Amazon Web Services, Apache Airflow, PostgreSQL
- Expertise in building and maintaining ETL workflows with detailed knowledge of data transformations, migrations, and integrations
- Understanding of agile methodologies and the ability to adapt to evolving project requirements
- English communication skills at B2 level or higher
- Familiarity with OpenSearch
- Background in implementing search and indexing solutions
- International projects with top brands
- Work with global teams of highly skilled, diverse peers
- Healthcare benefits
- Employee financial programs
- Paid time off and sick leave
- Upskilling, reskilling and certification courses
- Unlimited access to the LinkedIn Learning library and 22,000+ courses
- Global career opportunities
- Volunteer and community involvement opportunities
- EPAM Employee Groups
- Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn