QA Data Test Lead

Derex Technologies Inc • Cincinnati, OH

2d • Hybrid

About The Position

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.

Requirements

• 6 years of total technical experience on ETL testing
• Experience in developing ETL test plans, test cases and validating large scale data migrations.
• P&C experience is must
• 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.
• Need to be excellent team player.

Responsibilities

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed