Data Quality Engineer
Data Quality Engineer
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1 Vacancy
Job Description
Role : Data Quality Engineer ETL SDET
Location : Austin TX OR Fort Mill SC (Hybrid)
Key Responsibilities:
- Design develop and implement robust data quality solutions using Informatica PowerCenter and IDQ tools.
- Collaborate with crossfunctional teams to gather requirements understand data quality needs and ensure seamless integration of quality frameworks.
- Conduct data profiling cleansing and standardization to improve overall data accuracy and reliability.
- Develop and execute automated and manual testing frameworks to validate data quality and transformations.
- Monitor and maintain data pipelines and workflows to ensure compliance with organizational and regulatory standards.
- Utilize programming languages like Java Python or Groovy to enhance data quality processes.
- Create detailed documentation for data quality processes frameworks and testing strategies.
- Work with DevOps tools such as Docker Jenkins and Kubernetes for CI/CD pipeline integration.
- Provide ongoing support for datarelated issues troubleshooting and resolving discrepancies efficiently.
Required Qualifications:
- Experience: Minimum 5 years in data quality engineering or a related field with handson experience in Informatica PowerCenter and/or IDQ.
- Technical Skills:
- Proficiency in programming languages such as Java Python or Groovy.
- Strong understanding of relational (SQL PostgreSQL Oracle) and NoSQL (MongoDB) databases.
- Familiarity with RESTful APIs and testing frameworks like Selenium JUnit or TestNG.
Employment Type
Full Time
