Sr. Data Engineer

Job Description

Job Summary: Collaborate and partner with Business Analyst teams located in US and EMEA regions. Interface across our Business Analyst and Data Science teams. Play a key role in integrating new data sources into our data & analytical ecosystem over AWS cloud Implement data lake solutions while addressing common data concerns, such as data quality, data governance Set the standard for technical excellence as we move / build our data ecosystem into the cloud understanding their common data problems and deliver scalable solutions Responsibilities and Duties: 7-10 years of strong development experience performing ETL and/or data pipeline implementations. Expert in programming languages, preferably Python. Expert in delivering end-to-end analytic solutions using AWS services (EMR, Airflow, S3, Athena, Kinesis, Redshift). Experience in batch technologies like Hadoop, Hive, Athena, Presto. Strong SQL skills, including query optimization, schema design, complex analytics. Expert in data modeling and metadata management like Glue Catalog etc. Experience in deployment tools like GitHub actions, Jenkins, AWS Code Pipeline etc. Experience in data quality tools like Deque or Great Expectations is Nice To Have.