Senior Data Engineer

Support of the Data Science teams

Build tables, look at incoming support tickets, minimal ticket interactions, mentorship will be done by existing FTE team

Datamarts need to build, separate data models, used for analytics purposes, working in sprints, Data Scientists give requirements by end of the quarter, also ad-hoc requests (on-call support expected)

Building ingestion pipeline (a minor part of the job)

You're the type of person that publishes good documentation to help people use the information you provide.

12/5 support mode is expected

4+ years of relevant experience in Data Engineering

High proficiency in SQL - must-have. Most of the tasks are with Databrick SQL (DataBricks is nice to have, and can be trained)

Spark (extensive knowledge)

Python (PySpark, writing on top of Airflow)

Data integration and modeling experience

General knowledge of big data, AWS suite, and Airflow

Experience with data modeling and using REST APIs

Some ETL experience (how to build ETL pipeline)

Team player

Must have good communication and documentation skills. Working as a part of the customer's team

Must have an attitude to receive constructive feedback

Must be an enthusiast to learn new technology on the fly and adapt

B2+ English level

Experience working with varied forms of data infrastructure, including relational databases (e.g. SQL), Spark, and column stores (e.g. Redshift)

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