Build ETL using Glue Spark, Glue Python Jobs, Glue Workflows.
Manage Glue Data Catalog and enforce Lake Formation permissions.
Design Bronze/Silver/Gold data modeling and schema evolution.
Implement DMS ingestion and MSK/Kinesis streaming.
Prepare data for embeddings including cleansing, parsing, metadata enrichment.
Build data quality frameworks (Great Expectations, Deequ).
Education
Minimum Required: Bachelors degree in Computer Science, Information Systems, or similar
Skills Required
4+ years of hands-on experience in AWS ETL engineering, streaming ingestion, and building data pipelines for text-heavy workloads.
Deep AWS ETL expertise.
Strong schema management.
Experience with text-heavy pipelines.
Proven ability building governed Lakehouse systems
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Data EngineerEmployement Type: Full time