AWS Data Engineer
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AWS Data EngineerSkill Matrix: Overall 10+ years of specialization in data engineering in data warehouse and data mesh implementationsMust have 4 years of relevant experience in AWS tech stack - Writing PySpark, AWS Glue scripting (ETL & Crawler), EMR, Datasync, DMS, SQL, RedshiftPossesses experience in technologies such change data capture(CDC), data quality, Kafka and Kinesis data streams, Airflow, Step Functions, and LambdaKnowledge on table formats such as Iceberg and Delta tablesHas experience in metadata management building data catalog in alignment with business glossaryHas knowledge of data governance aspects such as data lineage, data quality. Should have built data validation frameworks to reconcile source and target dataHands-on expertise with data modelling, ETL pipelines, and performance optimization.Solid background in Data Warehousing concepts (star/snowflake schema design, dimensional modelling, and reporting enablement)J-18808-Ljbffr