ETL QA Lead

2 weeks ago

Gurugram Noida Pune, India Iris Software Full time ₹ 15,00,000 - ₹ 20,00,000 per year

About Iris

At Iris Software, our vision is to be our clients most trusted technology partner, and the first choice for the industrys top professionals to realize their full potential.

With over 4,300 associates across India, U.S.A, and Canada, we help our enterprise clients thrive with technology-enabled transformation across financial services, healthcare, transportation & logistics, and professional services.

Our work covers complex, mission-critical applications with the latest technologies, such as high-value complex Application & Product Engineering, Data & Analytics, Cloud, DevOps, Data & MLOps, Quality Engineering, and Business Automation.

Working at Iris: Be valued, be inspired, be your best.

At Iris Software, we invest in and create a culture where colleagues feel valued, can explore their potential, and have opportunities to grow.

Our employee value proposition is about "Being Your Best" – as a professional and person. It is about being challenged by work that inspires us, being empowered to excel and grow in your career, and being part of a culture where talent is valued. We're a place where everyone can belong.

Pls find below JD :

  • Experience: 5-10 years of hands-on experience in Data Quality Assurance, Data Testing, or ETL Testing roles.

  • SQL Expertise:

  • Advanced proficiency in SQL: Ability to write complex queries, subqueries, analytical functions (Window functions), CTEs, and stored procedures for data validation, reconciliation, and analysis.

  • Experience with various SQL databases (e.g., SQL Server, Oracle, PostgreSQL, MySQL, Snowflake, BigQuery).

  • Strong understanding of database concepts: normalization, indexing, primary/foreign keys, and data types.

  • Data Testing Methodologies: Solid understanding of data warehousing concepts, ETL processes, and various data testing strategies (e.g., source-to-target mapping validation, data transformation testing, data load testing, data completeness, data accuracy).

Regards

Neha Fulara

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