Description

You will lead data engineering initiatives and own the data lifecycle.

Responsibilities

• Design and implement ETL processes and data ingestion pipelines.
• Optimize data models and tune query performance within Snowflake.
• Develop and maintain complex data transformations using Python and PySpark.
• Manage data quality, governance, and overall data warehousing concepts.

Required Skills

• 8+ years of experience in data engineering or a related field.
• Strong proficiency in Python and PySpark for data processing.
• Advanced SQL skills with proven experience in Snowflake.
• Solid understanding of ETL design patterns and data transformation frameworks.
• Experience with data integration tools such as ADF, Informatica, or Talend.
• Familiarity with CI/CD pipelines for deploying data solutions.
• Knowledge of data warehousing concepts and data governance principles.
• Proven ability to analyze and solve complex data issues.
• Experience working within agile development environments.

Key Skills

Education

Any Gradute