Description

You will design and implement data quality solutions to ensure accuracy and reliability across data pipelines.

This role is hybrid.

Responsibilities

• Design and develop data quality solutions using Informatica PowerCenter and IDQ.
• Perform data profiling, cleansing, and standardization to improve data accuracy.
• Develop and execute automated and manual testing frameworks to validate transformations.
• Monitor data pipelines and workflows to ensure compliance with organizational standards.
• Integrate data quality processes into CI/CD pipelines using DevOps tools.

Required Skills

• 8+ years of experience in data quality engineering or a related field.
• Hands-on experience with Informatica PowerCenter and/or IDQ.
• Proficiency in Java, Python, or Groovy.
• Strong knowledge of SQL, PostgreSQL, and Oracle.
• Experience with NoSQL databases, specifically MongoDB.
• Familiarity with RESTful APIs.
• Experience with testing frameworks such as Selenium, JUnit, or TestNG.
• Practical use of Docker, Jenkins, and Kubernetes.

Preferred Skills

• Any Graduate degree.

Key Skills

Education

Any Graduate