Senior Etl Tester

Why Join Us?

Are you inspired to grow your career at one of Indias Top 25 Best Workplaces in IT industry? Do you want to do the best work of your life at one of the fastest growing IT services companies? Do you aspire to thrive in an award-winning work culture that values your talent and career aspirations? Its happening right here at Iris Software.

About Iris Software

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 (EVP) 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 discover and be their best version.

Title- Senior ETL QA

Location- Delhi/ Noida/ Pune/Gurugram

Mode- Hybrid

Shift: 12:30 PM- 9:30 PM IST

Data Testing Strategy & Execution: Design, develop, and execute comprehensive test plans and test cases for data-centric applications, ETL processes, data warehouses, data lakes, and reporting solutions.

• SQL-Driven Validation: Utilize advanced SQL queries to perform complex data validation, data reconciliation, data integrity checks, and data quality assurance across various financial data sources.

• ETL Testing: Conduct thorough testing of ETL (Extract, Transform, Load) processes, ensuring data is accurately extracted, transformed according to business rules, and loaded correctly into target systems.

• Data Quality Assurance: Implement and monitor data quality checks, identify data discrepancies, anomalies, and inconsistencies, and work with development and business teams to resolve issues.

• Performance Testing (Data Focus): Contribute to performance testing efforts for data pipelines and database operations, ensuring optimal query and data load performance.

• Test Data Management: Create and manage robust test data sets for various testing phases, including positive, negative, and edge case scenarios.

• Defect Management: Identify, document, track, and re-test defects in data, collaborating closely with development and data engineering teams for timely resolution.

• Documentation & Reporting: Maintain clear and concise documentation of test plans, test cases, test results, and data quality reports. Provide regular status updates to stakeholders.

• Collaboration: Work effectively with business analysts, data architects, data engineers, and project managers to understand data flows, business requirements, and ensure data quality standards are met.

• Process Improvement: Proactively identify opportunities for process improvements in data testing methodologies and tools.

• Global Team Collaboration: Provide consistent overlap with EST working hours (until noon EST) to facilitate effective communication and collaboration with US-based teams.

Required Skills & Experience:

• Experience: 5-8 years of hands-on experience in Data Quality Assurance, Data Testing, or ETL Testing roles.

• SQL Expertise:

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

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

o 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).

Domain Expertise:

o Strong understanding and proven experience in Risk and Finance IT domain: Familiarity with financial data (e.g., trading data, market data, risk metrics, accounting data, regulatory reporting).

o Knowledge of financial products, regulations, and risk management concepts.

• Analytical & Problem-Solving Skills: Excellent ability to analyze complex data sets, identify root causes of data issues, and propose effective solutions.

• Communication: Strong verbal and written communication skills to articulate data issues and collaborate with diverse teams.

• Time Zone Overlap: Proven ability and willingness to provide consistent working hour overlap until noon EST to collaborate with teams in the Eastern Standard Time zone.

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