Role: Senior ETL Developer – PySpark/Python
Location Charlotte, NC | Onsite (4 days/week)
Duration: 6 months+
Key Responsibilities
• Design and maintain scalable ETL pipelines using PySpark and Python
• Implement validation logic and manage data transformations
• Extract and load data across Oracle, PostgreSQL, and SQL Server
• Optimize Spark-based workflows on AWS cloud infrastructure
• Collaborate with cross-functional teams to define and deliver data requirements
• Perform code reviews and support testing, QA, and deployment
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Minimum Qualifications
• 5+ years of ETL development across large data environments
• Proficiency with PySpark and Python for distributed data processing
• Advanced SQL and hands-on experience with relational databases
• Experience with cloud ETL architecture (AWS, Azure, or GCP)
• Must be authorized to work in the U.S. and onsite 4 days/week
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Core Tech Environment
Airflow, AWS (S3, Glue, EMR), DataFrames, Oracle, PostgreSQL, PySpark (3.x), Python (3.x), SQL Server, Spark SQL
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Preferred Skills
• Familiarity with Apache Airflow or equivalent orchestration tools
• Understanding of data governance and security protocols
• Background in Agile or Scrum project delivery
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