Key Responsibilities:
Design, develop, and implement robust data quality solutions using
Informatica PowerCenter and IDQ tools.
Collaborate with cross-functional 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 data-related issues, troubleshooting and
resolving discrepancies efficiently.
Required Qualifications:
Experience: Minimum 5+ years in data quality engineering or a related
field, with hands-on 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.
Job Types: Full-time, Contract
Pay: Up to $120,000.00 per year
Work Location: Hybrid remote in TX 78717, United States
