Build and maintain large-scale data pipelines on AWS using Python and Apache Spark. Design reliable ingestion, transformation, and validation workflows across the modern data lake stack including S3, Glue, Athena, EMR, and Redshift. Implement and test AWS Lake Formation permission models with row-level and column-level security at scale.
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Job Description
Role :: AWS Data Engineer
Location :: Seattle, WA - Onsite
Fulltime_Permanent_role
All Visa workable
Min exp 8+ year
Job Description
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