Job Description

eNGINE builds Technical Teams. We are a Solutions and Placement firm shaped by decades of interaction with Technical professionals. Our inspiration is continuous learning and engagement with the markets we serve, the talent we represent, and the teams we build. Our Consulting Workforce is encouraged to enjoy career fulfillment in the form of challenging projects, schedule flexibility, and paid training/certifications. Successful outcomes start and finish with eNGINE.

eNGINE is hiring a Data Quality Assurance Engineer with strong technical expertise and hands-on experience in ensuring the quality and accuracy of data. This role requires critical thinking, sharp analytical skills, and the ability to communicate effectively across teams. You will play a key role in developing and implementing data QA standards and procedures, ensuring the integrity of reports, dashboards, and data exports.

Key Responsibilities

• Collaborate with cross-functional teams to gather business requirements and translate them into comprehensive test plans and documentation.
• Design and implement test strategies, approaches, and documentation aligned with business needs.
• Develop data profiling and data mapping documents to support testing objectives.
• Contribute to data testing frameworks using PySpark, validating datasets, reports, and dashboards with a variety of quality checks.
• Identify, monitor, and report data defects; participate in defect triage and resolution processes.
• Design and generate test data to validate data transformation logic across different layers of the pipeline.
• Lead efforts in ETL result validation and dashboard testing.
• Define and enforce data quality rules focused on completeness, accuracy, and transformation logic.

Required Qualifications

• Bachelors degree in Computer Science, Information Technology, or a related field.
• At least 2 years of experience in data quality testing, including the design and execution of hybrid cloud/on-prem solutions.
• Proficiency in data profiling, data mapping, and writing complex SQL queries.
• Experience with data management tools such as Azure DevOps and Azure Data Factory, as well as Azure Cloud services like ADLS Gen2 and Azure Databricks.
• Strong background in test automation using Python (including Pandas, PySpark, PyTest), GitHub API testing, and Jenkins.
• Proven experience in ETL testing, including data cleansing, transformation, and report/dashboard validation.
• Solid understanding of data warehouse concepts and dimensional modeling.
• Demonstrated ability to contribute to business requirements, document data quality standards, and conduct detailed data validation.

Preferred Qualifications

• 2+ years of experience specifically in a Data QA role.
• Familiarity with BI tools such as Microsoft Power BI and Tableau.
• Strong analytical and problem-solving skills.
• Excellent written and verbal communication skills.

No C2C, 3rd party candidates, relocation, or sponsorship for this role.

For finer details on how eNGINE can impact your career, apply today!

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