Description

You will ensure data integrity and accuracy within data warehousing environments by managing ETL processes and implementing automated quality checks.

This role is on-site.

Responsibilities

• Manage and monitor ETL processes to ensure data consistency.
• Write and optimize advanced SQL queries for data validation.
• Develop automation scripts using Python or Java to detect data anomalies.
• Collaborate within Agile teams to integrate quality checks into the development lifecycle.

Required Skills

• 10+ years of experience in data engineering or data quality roles.
• Expertise in ETL and Data Warehousing architectures.
• Advanced SQL proficiency for complex data manipulation and analysis.
• Strong programming skills in Python or Java.
• Experience working within Agile methodologies.
• Bachelor's degree or equivalent experience in any field.

Key Skills

Education

Any Graduate