Senior ETL QA Architect: Data Quality & Snowflake

ValueMomentum, Inc.; Hyderabad City Taluka; On-site; PKR 1,800,000 - 3,000,000; Full time

Job summary

ValueMomentum, Inc. is seeking an ETL QA Architect to lead testing of large-scale data pipelines and data quality validation.

You will validate data movement between source and target systems, ensure data accuracy and integrity, and troubleshoot data quality issues with SQL-driven validation using Spark, Hive and Snowflake. The role focuses on developing test plans, automation, and collaboration with data engineers, analysts, and stakeholders to deliver reliable data solutions for P&C insurance

Qualifications

• Total 6+ years of ETL testing experience.
• Strong SQL skills and data movement validation across source/target systems.
• Experience with Spark, Hive and Snowflake data warehousing.

Responsibilities

• Work on large datasets and perform ETL testing with thorough validation between source and target systems.
• 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 and ETL processes.
• Identify and investigate data anomalies, inconsistencies, and discrepancies; troubleshoot data quality issues.
• Collaborate with data engineers, data architects, business analysts and stakeholders to ensure data quality standards.
• Document test plans, test results and data quality issues; communicate findings clearly to stakeholders.
• Recommend and implement improvements to data quality processes, tools and methodologies.
• Automate data validation and testing processes where possible to improve efficiency.

Skills

ETL Testing

Data Quality

SQL

Tools

Spark

Hive

Snowflake

Job description

ValueMomentum, Inc. is seeking an ETL QA Architect to lead testing of large-scale data pipelines and data quality validation.

You will validate data movement between source and target systems, ensure data accuracy and integrity, and troubleshoot data quality issues with SQL-driven validation using Spark, Hive and Snowflake. The role focuses on developing test plans, automation, and collaboration with data engineers, analysts, and stakeholders to deliver reliable data solutions for P&C insurance