lead big data developer for a business services company

· 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

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

· Strong skills in Big Data - ETL, Spark, DataBricks, Redshift, S3, Python, SQL

· Proficient working in AWS cloud environment

Proficient English (written and spoken) B2