Description

Design and maintain scalable data pipelines and warehouses using Databricks and Snowflake.

Responsibilities

• Build and optimize ETL/ELT workflows for ingesting and transforming large datasets.
• Develop data models and data warehouses in Snowflake to support analytics.
• Implement data quality checks, validation, and monitoring processes.
• Integrate data from APIs, streaming platforms, and databases.
• Troubleshoot production issues and ensure data governance and security compliance.

Required Skills

• 7+ years of experience with PySpark and SQL.
• Hands-on expertise with Databricks for data engineering.
• Strong proficiency in designing and optimizing Snowflake data warehouses.
• Experience building scalable data pipelines.
• Ability to collaborate with data analysts and data scientists.
• Bachelor's degree in a relevant field.

Key Skills

Education

Bachelor's degree