Description

You will design, develop, and maintain scalable data pipelines using Python, PySpark, and Snowflake to support analytical and business operations.

This role is hybrid.

Responsibilities

• Build and optimize data pipelines for high-volume data processing.
• Implement data quality checks and intelligent transformations.
• Automate pipeline operations to improve efficiency.
• Cleanse and structure raw data for reliable analytics.
• Collaborate with teams to deliver reliable data solutions.

Required Skills

• 5+ years of hands-on expertise in Python.
• Strong proficiency in PySpark for distributed data processing.
• Advanced skills in Snowflake SQL for data warehousing.
• Experience designing scalable data architecture.
• Proven track record in maintaining production data systems.

Preferred Skills

• Experience with Gen AI / LLM powered data solutions.
• Knowledge of using AI for data quality or automation.

Key Skills

Education

Any Graduate