Description

You will build and maintain systems to ensure data accuracy and integrity.

This role is on-site.

Responsibilities

• Develop and implement data quality rules, checks, and validation processes.
• Analyze datasets to identify quality gaps and propose effective remediation steps.
• Build scalable data pipelines and workflows in Databricks to support data quality initiatives.
• Work with cross-functional teams to define and improve data quality metrics and standards.
• Document processes, maintain data quality dashboards, and ensure continuous improvements.

Required Skills

• 5+ years of professional experience in data engineering or quality.
• Strong SQL skills, capable of writing complex queries.
• Hands-on experience using Databricks for data processing and pipeline development.
• Practical experience with the end-to-end data quality lifecycle.
• Ability to analyze large datasets and identify structural issues.
• Experience defining and tracking data quality metrics.

Preferred Skills

• Experience building and maintaining data quality dashboards.
• Familiarity with data governance and standardization practices.

Key Skills

Education

Any Graduate