Lead AWS Data Engineer

AWS Data Engineer (Contract) | Beverly Hills, CA (Onsite)Must-Have ExperienceCandidates should demonstrate 7+ years of data engineering experience with depth in:Cloud data warehouse / lakehouse — Amazon Redshift or Databricks. Real production ownership: modeling, performance tuning, cost management, workload isolation.PythonApache Airflow — authoring and operating DAGs at scale; dependency management, retries, SLAs, observability.dbt — model design, testing, macros, documentation, CI/CD for transformations.Data movement / ingestion tooling — e.g. Fivetran, Airbyte, AWS DMS, Kafka/Kinesis, or custom CDC and API ingestion frameworks.Open table formats — Apache Iceberg / Delta Lake / Hudi . Partitioning, schema evolution, compaction, timetravel.Apache Spark — PySpark or Spark SQL for large-scale batch/streaming transformation.SQL — advanced, including window functions and query optimization.Data Governance &Data quality & observability tooling (Great Expectations, Monte Carlo, Elementary)Nice-to-HaveAWS ecosystem depth (S3, Glue, Lambda, IAM, EMR)Streaming / near-real-time pipelinesInfrastructure-as-code (Terraform), Docker, CI/CD (GitHub Actions