Description

You will lead data quality initiatives within a senior development role spanning data engineering, AI/ML, and Collibra DQ.

Responsibilities

• Design and implement data quality frameworks using SQL and Python/Java/Scala.
• Manage ETL processes using tools like Pentaho or other relevant ETL solutions.
• Automate operational workflows using Bash CLI or PowerShell scripts.
• Apply DataOps and DevOps principles to the data lifecycle.

Required Skills

• 10+ years of experience in a Data Engineering or equivalent role.
• Expert proficiency in SQL.
• Strong programming skills in Python (preferred), Java, or Scala.
• Hands-on experience with ETL processes.
• Familiarity with orchestration tools such as Control M or Airflow.
• Experience working with relational, dimensional, and NoSQL databases.
• Proficiency with Bash CLI or PowerShell scripting.
• Understanding of Data Governance and Data Quality principles.

Key Skills

Education

Any Graduate