Description

Design, develop, and optimize ETL/ELT pipelines using Databricks, Python, and SQL. This role is on-site.

Responsibilities

• Build and maintain efficient data transformation workflows using Python and SQL.
• Collaborate with stakeholders to define data requirements and deliver solutions.
• Ensure data quality, integrity, and governance across Azure data platforms.
• Monitor, troubleshoot, and optimize data workflow performance.
• Implement version control and CI/CD practices for data engineering code.

Required Skills

• 5+ years of experience in data engineering or a similar role.
• Proficiency in SQL and Python for data manipulation and automation.
• Hands-on experience with Databricks, Snowflake, and Azure Data Lake.
• Experience with Azure Data Factory and Azure Functions.
• Strong understanding of Data Modeling and Data Warehousing principles.
• Knowledge of ETL/ELT best practices and data governance.
• Familiarity with CI/CD pipelines and version control systems.

Key Skills

Education

Any Gradute