Description

Build and maintain scalable data pipelines and systems. Own the full lifecycle of data workflows from extraction to storage.

Responsibilities

• Design, develop, and maintain scalable data pipelines and systems.
• Use SQL and Python for data extraction, transformation, and analysis.
• Implement data workflows using PySpark.
• Manage and optimize data storage solutions on AWS.
• Monitor and troubleshoot data pipeline issues to ensure data quality and integrity.

Required Skills

• 4+ years of experience in data engineering or related fields.
• Strong proficiency in SQL.
• Strong proficiency in Python.
• Hands-on experience with PySpark.
• Experience working with AWS services.
• Any Graduate degree.
• Ability to join immediately or within 15 days.

Key Skills

Education

Any Graduate