Senior Quality Assurance Engineer - Data, Business Intelligence and Analytics

Senior QA Engineer (Data / BI / Analytics)

Company Description

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!!

Job Description

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

Qualifications

• 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

Additional Information

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

Experience Level

Senior Level