Location: Noida, UP, India
Company: Iris Software
Why Join Iris?
Are you ready to do the best work of your career at one of India's Top 25 Best Workplaces in IT industry? Do you want to grow in an award-winning culture that truly values your talent and ambitions? Join Iris Software — one of the fastest-growing IT services companies — where you own and shape your success story.
About Us
At Iris Software, our vision is to be our client's most trusted technology partner, and the first choice for the industry's 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. At Iris, every role is more than a job — it's a launchpad for growth. Our Employee Value Proposition, "Build Your Future. Own Your Journey." reflects our belief that people thrive when they have ownership of their career and the right opportunities to shape it. We foster a culture where your potential is valued, your voice matters, and your work creates real impact. With cutting-edge projects, personalized career development, continuous learning and mentorship, we support you to grow and become your best — both personally and professionally.
Curious what it's like to work at Iris? Head to this video for an inside look at the people, the passion, and the possibilities. Watch it here.
Role Overview
We are seeking skilled SDETs (5-7 Years of experience) with strong Python, SQL, and ETL testing expertise to support QE Transformation across Enterprise Risk applications. The role focuses on automation scale, reusable utilities, and AI-assisted QE.
• Strong Python programming for data validation and automation • Advanced SQL (joins, transformations, reconciliation logic) • Ability to interpret mapping/TSD documents and derive test scenarios
• ETL/Data Warehouse testing across ingestion, staging, and target layers • Experience with schema/DDL validation, table-to-table comparisons • AI tools (GitHub Copilot) for script acceleration • AWS, Redshift, Netezza familiarity
• Accelerate automation across ER applications • Convert high-volume regression scenarios into Python-based automation • Identify high-ROI test scenarios for automation
• Extend utilities where feasible • Build shared utilities (table comparator, SQL generator, DDL validator)
• Use Copilot for SQL/script generation • Generate automated coverage & stability reports
• Strong analytical & debugging capability • Ability to operate in data-intensive, fast-paced environments • Effective communication with cross-functional teams
Mandatory Competencies
QA/QE - QA Automation - SDET
QA/QE - QA Automation - Python
Beh - Communication
QA/QE - QA Automation - DB Testing (Big Data)
ETL - ETL - Tester