ETL Tester - Senior Engineer

Why Join Us

Are you inspired to grow your career at one of  India's 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  It's  happening right here  at Iris Software.

About Iris Software

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, Dev Ops, 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.

Job Description

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:
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, Postgre

SQL, MySQL, Snowflake, Big Query).
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…