Cookies & analytics consent
We serve candidates globally, so we only activate Google Tag Manager and other analytics after you opt in. This keeps us aligned with GDPR/UK DPA, ePrivacy, LGPD, and similar rules. Essential features still run without analytics cookies.
Read how we use data in our Privacy Policy and Terms of Service.
🤖 15+ AI Agents working for you. Find jobs, score and update resumes, cover letter, interview questions, missing keywords, and lots more.

R Systems • Chennai, Tamil Nadu, India
Role & seniority: BI & ETL Tester, 5–10+ years in BI/ETL testing or QA
Stack/tools: SQL (advanced), ETL tools (Airflow), BI tools (Power BI, SAP BO), data warehousing (Star/Snowflake schemas), cloud data platforms (GCP), automation (Python, dbt tests), JIRA, Git, CI/CD for data testing
ETL/Data Pipeline Testing: end-to-end validation, source-to-target, schema/transformation checks, scheduling/error handling, regression and functional testing
BI/Reporting Testing: validate reports/dashboards for accuracy, formatting, KPIs, and performance; verify data with SQL; test data refresh and row-level/report-level security
SQL & Data Quality Validation: write complex queries to validate rules/calculations; identify anomalies; defect triage with engineers/analysts; contribute to test plans and defect closure
5–10+ years BI/ETL testing or QA
Strong SQL (joins, window functions, aggregations, CTEs)
Experience testing ETL tools (Airflow)
BI tooling experience (Power BI, SAP BO, etc.)
Data warehousing concepts (star/snowflake), cloud data platforms (GCP a plus)
Agile/Scrum, defect management, test documentation
SAP source systems (ECC, S/4HANA, SAP BW, SAP IBP)
Big data tech (BigQuery)
Automation with Python or SQL-based frameworks
CI/CD for data testing; version control (Git)
Location & work type: Location not specified; work type not specified; remote/hybrid may be c
We are seeking a skilled BI & ETL Tester to validate, analyze, and ensure the accuracy, performance, and reliability of data pipelines, BI reports, dashboards, and analytics solutions. The ideal candidate will have strong experience in data validation, SQL, ETL process testing, and working with modern data platforms. Key Responsibilities
Experience testing ETL tools such as: Airflow