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Primary Duties and Responsibilities:

Establish Data Engineering architecture strategy, best practices, standards, and roadmap. Experience developing ETL Pipeline using Python, Snowflake and IDMC. Experience with loading batch data and streaming data via Kafka Build Data Flows mapping Source systems and Process flows. Assemble large, complex data sets that meet nonfunctional and functional business requirements. Mentor team members on best practices, efficient implementations and delivering high quality data products. Lead onshore and offshore teams. Perform code reviews and assist developers in optimization and troubleshooting. Expertise in Snowflake advanced concepts like setting up resource monitors, RBAC controls, virtual warehouse sizing, query performance tuning, Zero copy clone, time travel and understand how to use these features. Knowledge in AWS and management technologies such as S3. Strong written communication skills Is effective and persuasive in both written and oral communication.