Description

Lead data quality initiatives by designing frameworks and managing ETL processes for data engineering and AI/ML workloads.

This role is on-site.

Responsibilities

• Design and implement data quality frameworks using SQL and Python, Java, or Scala.
• Manage ETL processes using Pentaho or equivalent tools.
• 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 Data Engineering or a related 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