Description

You will own the end-to-end data validation and quality assurance processes for enterprise-level data warehouse applications.

Responsibilities

• Develop and execute comprehensive test plans covering data validation, regression, and multiple testing phases in large-scale projects.
• Transform complex business logic into SQL or PL/SQL queries to verify ETL processes and data integrity.
• Perform data analysis tasks including profiling, auditing, balancing, and reconciliation within an IT operating environment.
• Identify defects and manage the defect life cycle using tracking tools.
• Tune SQL queries, stored procedures, and views to drive performance improvements.
• Create requirements traceability matrices (RTM) and prepare test data using established preparation techniques.

Required Skills

• 8+ years of Software Quality Assurance experience focusing on Data Warehouse testing.
• Expertise in SQL and PL/SQL, including writing complex queries and performance tuning.
• Proficiency in Python for QA automation testing.
• Strong knowledge of ETL development, data warehousing concepts (ODS, DM, EDW, ROLAP), and data models/ERDs.
• Experience with XML and information governance principles.
• Hands-on experience with Jira or ALM for defect tracking.
• Technical familiarity with S3, Hadoop, and Postgres.
• Deep understanding of the Software Test Life Cycle, Test Case Life Cycle, and Defect Life Cycle.
• Proven ability to work with large data sets and Data Quality Frameworks.

Key Skills

Education

Any Graduate