Description

You will lead data engineering efforts focusing on Snowflake architecture and PySpark-driven transformations.

Responsibilities

• Design, implement, and optimize data warehouses on the Snowflake platform.
• Develop and maintain end-to-end ETL workflows and data pipelines.
• Execute advanced data transformations, cleansing, and enrichment using PySpark.
• Optimize Snowflake features to ensure scalable and high-performance data storage.
• Implement data validation processes to ensure data integrity across pipelines.

Required Skills

• 6+ years of experience in Data Engineering.
• Expertise in Snowflake features and data warehousing capabilities.
• Advanced proficiency in PySpark for large-scale data processing and analytics.
• Strong command of SQL for data manipulation and querying.
• Hands-on experience with Python or Scala for data processing.
• Proven experience in data modeling and ETL process design.
• Ability to manage efficient data storage and retrieval strategies.
• Any Graduate degree.

Key Skills

Education

Any Graduate