Experience: Mid to senior-level experience in SQL development with comprehensive data engineering skills.
Technical Skills: Proficiency in Spark, Python (or PySpark), and knowledge of data lakes (S3 and GCS), Redshift, Athena, and cloud-based systems, particularly GCP.
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