Description

You will ensure the accuracy, integrity, and reliability of data systems across warehousing and ETL processes.

This role is hybrid.

Responsibilities

• Validate data integrity and accuracy across data warehousing and ETL workflows.
• Develop and execute automated testing protocols to maintain data quality standards.
• Monitor and optimize ETL pipelines and data workflows.
• Collaborate on data validation using business intelligence tools.

Required Skills

• 5+ years of experience in data quality or data engineering roles.
• Strong proficiency in SQL and PL/SQL.
• Hands-on experience with ETL and ELT processes.
• Practical experience with automated testing frameworks (e.g., X-Ray, TestRail, or Zephyr).
• Experience working with Data Warehouse environments and Snowflake.
• Proficiency in Python and Excel.
• Experience with Cloud Projects.
• Familiarity with Business Intelligence tools.

Preferred Skills

• Experience with Power BI.
• Experience with SAP Business Objects, Tableau, or Dundas BI.

Key Skills

Education

Any Gradute