Description

You will build and maintain data pipelines as a Python Data Engineer.

Responsibilities

• Develop and implement ETL/ELT processes using Python for data warehousing.
• Process structured and semi-structured data using PySpark and Python DataFrames.
• Design and build data ingestion pipelines with robust error handling.
• Write and optimize complex SQL queries and stored procedures.

Required Skills

• 5+ years of hands-on development experience in Python for ETL/ELT and data warehousing.
• Expertise in ELT using SQL and Stored Procedures.
• Proficiency in complex SQL, performance tuning, and troubleshooting.
• Hands-on coding experience with PySpark and Python DataFrames.
• Experience with data ingestion and building data pipelines.
• Familiarity with Snowflake and AWS environments.
• Strong ability to articulate technical concepts clearly.

Preferred Skills

• Working knowledge of scheduling jobs in Control M or Airflow.
• Development experience in Snowflake Cloud Data Warehouse on AWS Data Lake.

Key Skills

Education

Any Graduate