Description

You will build and maintain data pipelines using Python for ETL/ELT processes.

Responsibilities

• Develop and build data ingestion pipelines for structured and semi-structured data.
• Implement ETL/ELT workflows using SQL and Stored Procedures.
• Tune and troubleshoot complex SQL queries for performance.
• Handle data quality checks and implement error handling within pipelines.

Required Skills

• 5+ years of hands-on Python development experience in data warehousing and ETL/ELT.
• Expertise in PySpark and Python Data Frame for data processing.
• Proficiency in complex SQL and stored procedure development.
• Experience with data ingestion and pipeline scripting.
• Familiarity with Snowflake or AWS environments.
• Ability to articulate technical concepts clearly.

Preferred Skills

• Working knowledge of job scheduling tools like Airflow, Control M, or Autosys.
• Development experience with Snowflake Cloud Data Warehouse, including Snowpark and Streams.

Key Skills

Education

Any Gradute