Senior QA Engineer (Data / BI / Analytics)

Sutherland is seeking a reliable and technical person to join us as Senior QA Engineer (Data / BI / Analytics) who will play a key role in driving our continued product growth and innovation. If you are looking to build a fulfilling career and are confident you have the skills and experience to help us succeed, we want to work with you!!

We are seeking an experienced Senior QA Engineer (Data / BI / Analytics) to ensure the quality, accuracy, and reliability of our data platforms, reporting solutions, and analytics systems. The ideal candidate will have strong experience testing large datasets, complex data pipelines, and BI/reporting tools such as SSRS and Tableau, along with excellent SQL and communication skills.

Key Responsibilities

• Validate data accuracy, completeness, and integrity across data warehouses, ETL processes, and reporting systems
• Develop and execute test strategies for large-scale datasets and complex data loads/pipelines
• Perform validation of SSRS/Tableau reports against source systems
• Write complex SQL queries for data profiling, reconciliation, and validation
• Review data transformations, mappings, and business logic
• Identify data quality issues and work closely with engineering and BI teams to resolve them
• Create and maintain detailed test plans, test cases, and documentation
• Contribute to QA automation for data validation (where applicable)
• Mentor junior QA engineers and champion data quality best practices

Required Skills & Experience:

• 5 to 7 years of experience in Data/BI/Analytics QA
• Strong expertise in SQL (advanced querying & analysis)
• Hands-on experience testing:
•         Data warehouses / data marts
•         Complex ETL pipelines and data flows
•         Large structured datasets
• Experience validating SSRS and/or Tableau-based reports
• Strong understanding of data models, joins, aggregations, and transformations
• Proven ability to analyze and troubleshoot complex data issues
• Excellent verbal and written communication skills
• Experience working with cross-functional data and analytics teams
• Experience with data QA automation frameworks
• Exposure to big data platforms or cloud data solutions
• Knowledge of Python or scripting for data validation
• Experience in regulated / enterprise environments

• Bachelor’s or Master’s degree in Computer Science, Information Systems, Data/Analytics, or related field (or equivalent experience)
• Hybrid work model, employees are required to work from the office on Monday, Wednesday, and Friday.
• Working Hours: India shift ends at either 11:30 PM IST / 2:00 AM EST or 12:30 AM IST / 3:00 AM EST.
• Work Location: Hyderabad / Chennai / Pune

All your information will be kept confidential according to EEO guidelines.