QA Data Test Lead

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Job Title: QA Data Test Lead

📍 Location: Cincinnati, Ohio (Hybrid)

The Candidate is expected to work on large datasets and will be involved in ETL testing, and thorough validation between the source and target.

Develop and execute test plans, test cases, and scripts to validate data accuracy, completeness, and integrity
Perform functional, integration, regression, and performance testing of data pipelines, ETL processes, and databases
Identify and investigate data anomalies, inconsistencies, and discrepancies; troubleshoot and resolve data quality issues
Collaborate with data engineers, data architects, business analysts, and other stakeholders to understand data requirements and ensure data quality standards are met
Document test plans, test results, and data quality issues; communicate findings and recommendations effectively to technical and non-technical stakeholders
Recommend and implement improvements to data quality processes, tools, and methodologies
Automate data validation and testing processes where possible to improve efficiency and accuracy

6+ years of total technical experience in ETL testing
Experience in developing ETL test plans, test cases, and validating large-scale data migrations
P&C experience is mandatory
Strong understanding of ETL processes, SQL, Spark, Hive, and data migration
Advanced proficiency in writing SQL queries
Hands-on experience with Hive, Spark, Spark SQL, and Data Frame API
Experience with Snowflake data warehousing
Experience in testing using Informatica, IDMC, CDV, CDQ
Experience with data quality automation tools and frameworks
Ability to document and present findings clearly and concisely
Excellent verbal and written communication skills
Strong analytical and problem-solving skills
Excellent team player

📩 Interested candidates can share their updated resume along with:

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