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5+ years of experience in data engineering and analytics roles.
Hands-on experience with Databricks in production environments.
Strong knowledge of data profiling and data mapping techniques.
Familiarity with Data Vault 2.0 data modeling methodology.
Experience working in AWS, particularly with S3, Glue, and Spark.
Ability to develop and optimize automated data pipelines.
Excellent problem-solving and client communication skills.
Experience using Git, CI/CD tools, and workflow orchestration platforms.
Strong technical writing and documentation skills.