senior big data developer for healthcare company

Enable production of valuable business insights

Understand requirements, clarify with BA and data analysts when necessary

Automating data ingestion processes

Enhance data sets by creating automated match rules

Automating data pre-processing, cleansing and verifying the integrity

Developing ETL transformations for data from various data sources (IQUVIA, SCOUT, SAP, unstructured files)

Working in a feature team of developers and test engineers

Deliver results every sprint in accordance with sprint and release plans

Report about activities via agreed project tools

Timely report about risks/issues/dependencies

Apply efforts to resolve and move the work forward

3+ years of relevant experience

Ability to work independently as well as in a team of professionals, that may include not only EPAM colleagues, but also client’s engineers and managers as well as third-party vendors

Strong skills in Big Data - AWS, Databricks, Spark, Python, Airflow, + (Scala or Java)

Proficient working in AWS cloud environment

English level B2 and higher