Back to SearchSenior Data Engineer
Data Software Engineering, Amazon Web Services, Apache Airflow, Apache Spark, Python, SQL, Databricks
Sorry, this position is no longer available
We are looking for a Senior Data Engineer to join our team and work on data integration, modeling, and data pipelines. The ideal candidate should have high proficiency in SQL and extensive knowledge of Spark, as well as experience with Python and AWS Databricks. The candidate will be responsible for supporting Data Science teams, building tables, creating data marts, and building ingestion pipelines.
Responsibilities
- Support Data Science teams by building tables, creating data marts, and building ingestion pipelines
- Work in sprints to deliver requirements by the end of the quarter and handle ad-hoc requests
- Build and maintain ETL pipelines and data modeling
- Handle incoming support tickets with minimal ticket interactions
- Provide mentorship to junior team members
Requirements
- At least 3 years of experience in Data Software Engineering and building data pipelines
- High proficiency in SQL and extensive knowledge of Spark
- Experience with Python (PySpark, writing on top of Airflow) and AWS Databricks
- Experience in data integration and modeling, as well as general knowledge of big data and Airflow
- Good knowledge and experience in building ETL pipelines and using REST APIs
Benefits
- 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