Job Description

Experience (6-9 Years)
Job Requirements:

• Develop, automate, and maintain robust ETL pipelines using Python to support scalable data integration and processing.
• Load processed data into data warehouses, data lakes, or relational databases such as SQL Server, PostgreSQL, MySQL, or cloud-based storage.
• Work with version control systems like Git to track changes, maintain code integrity, and support CI/CD processes.
• Optimize ETL jobs for performance, reliability, and scalability, including troubleshooting and resolving data pipeline failures.
• Maintain proper documentation of ETL processes, data dictionaries, and workflow logic for ongoing support and transparency.
• Ensure data quality, consistency, and security throughout the ETL lifecycle, implementing validation and monitoring mechanisms.

Mandatory skills required:
1. ETL with SQL - 4/52.
2. Python Automation - 4/53.
3. CI/CD pipeline - 3/5

Skills Required