Data Quality Analyst

KTek Resourcing; Tampa (FL); On-site; USD 61,000 - 83,000; Full time

Job summary

An established industry player is seeking a detail-oriented Data Quality Engineer to enhance their data engineering team in Tampa. This role involves designing and implementing automated data quality validation frameworks, ensuring data integrity through advanced SQL and programming skills in Python or Java. You will collaborate with cross-functional teams to establish best practices and integrate monitoring solutions, making a significant impact on data governance and compliance. If you are passionate about data quality and thrive in a dynamic environment, this opportunity is perfect for you.

Qualifications

• Hands-on experience with ETL data warehousing systems.
• Strong SQL skills, including complex queries and optimization.

Responsibilities

• Design and develop automated data quality tests.
• Implement data quality monitoring and alerting mechanisms.
• Collaborate with teams to improve data quality processes.

Skills

ETL data warehousing

SQL

Python

Java

Agile methodologies

Tools

CI/CD pipelines

automated test scripts

data quality platforms

Job description

Direct message the job poster from KTek Resourcing

We are currently seeking a detail-oriented and technically strong Data Quality Engineer (Data QE) to join our growing data engineering team in Tampa, FL. The ideal candidate will have solid experience in ETL data warehousing, advanced SQL, and programming in Python or Java and will be well-versed in Agile delivery methodologies. This role will play a key part in designing, implementing, and maintaining scalable and automated data quality validation frameworks.

Key Responsibilities:

Design and Develop Automated Data Quality Tests

• Created and maintained automated test scripts and frameworks using tools such as Python, SQL, and modern data quality platforms.
• Develop robust data profiling and validation rules to detect anomalies, missing values, and other inconsistencies.
• Build and manage test data sets to support comprehensive testing scenarios.

Implement Data Quality Monitoring and Alerting

• Integrate automated tests into CI/CD pipelines for seamless and continuous data validation.
• Establish data quality monitoring dashboards and alerting mechanisms for proactive issue detection.
• Generate and maintain data quality metrics and reporting for business and engineering stakeholders.

Collaborate and Improve Data Quality Processes

• Partner with data engineers, analysts, and product owners to gather pipeline and business requirements.
• Participate in code reviews and contribute to defining data quality best practices.
• Identify opportunities for process automation and tooling improvements.
• Troubleshoot and resolve data quality issues, driving corrective actions across teams.

Data Governance and Compliance

• Ensure data quality activities align with data governance policies and meet relevant regulatory standards.
• Support the creation and maintenance of documentation related to testing procedures, standards, and data quality frameworks.

Required Technical Skills:

• Hands-on experience with ETL data warehousing systems.
• Strong SQL skills, including complex queries, optimization, and data validation.
• Programming experience in Python or Java for automation and scripting.

Seniority level

• Seniority level

  Associate

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  IT Services and IT Consulting

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