Senior Data Software Engineer with Databricks

Data Software Engineering, Amazon Web Services, Apache Airflow, Apache Spark, Databricks, Python, Scala

We are seeking a remote Senior Data Software Engineer with a primary skillset in Databricks to join our team.

Your role mainly involves supporting the Data Science teams, building ingestion pipeline, and building datamarts that are used for analytics purposes. To excel in this role, you must have high proficiency in SQL with extensive knowledge of Spark and Python. You should also have experience working with AWS suite and Airflow, as well as a great understanding of how to build ETL pipelines.

Responsibilities

Support the Data Science teams
Build ingestion pipeline
Build datamarts
Use SQL for most tasks with Databrick SQL
Mentoring other team members

Requirements

Minimum of 3 years experience as a Senior Data Software Engineer working with Databricks
High proficiency in SQL, Spark, and Python
Knowledge of AWS suite and Airflow
Experience in data modeling and using REST APIs
Strong knowledge of how to build ETL pipelines
B2+ English level

Nice to have

Experience working with Redshift
Great understanding of varied forms of data infrastructure

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