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

1. ETL / Data Pipeline Testing

Validate end-to-end ETL workflows including data extraction, transformation, and loading.
Perform source-to-target data validation, record counts, reconciliation, schema checks, and transformation logic checks.
Test data ingestion from multiple sources (databases, files, SAP, cloud platforms).
Verify scheduling, dependencies, and error-handling processes in ETL jobs.
Conduct regression, functional, and sanity testing for data loads.

2. BI / Reporting Testing

Validate BI reports and dashboards for accuracy, formatting, filters, drill-downs, KPIs, and aggregations.
Compare visual outputs with backend data using SQL queries.
Test performance, data refresh cycles, row-level security, and report-level access.

3. SQL & Data Quality Validation

Write complex SQL queries to validate business rules, calculations, and data transformations.
Identify data issues, anomalies, and integrity gaps.
Collaborate with Data Engineers, BI Developers, and Data Analyst to resolve defects.

4. Test Planning & Execution

Create detailed test plans, test cases, test scenarios, and acceptance criteria.
Perform manual testing and assist in setting up automated testing frameworks (e.g., Python, PyTest, dbt tests).
Document defects in tools like JIRA and follow through to closure.
Participate in sprint planning, reviews, and Agile ceremonies.

Required Skills & Experience

510+ years of BI/ETL testing or QA experience.
Strong SQL skills (joins, window functions, aggregations, CTEs).
Experience testing ETL tools such as: Airflow
Experience with BI tools:
- Power BI, SAP BO, etc.
Understanding of data warehousing (Star/Snowflake schema, dimensions, facts).
Knowledge of cloud data platforms ( GCP is a plus).
Familiarity with Agile/Scrum methodology.
Experience in defect management and test documentation tools.

Preferred Qualifications

Experience with SAP source systems (SAP ECC, S/4HANA, SAP BW, SAP IBP) for data validation.
Exposure to big data technologies (BigQuery).
Automation experience using Python or SQL-based frameworks.
Knowledge of CI/CD pipelines for data testing.
Experience with version control (Git).

Soft Skills

Strong analytical and problem-solving abilities.
Excellent communication with business and technical teams.
Ability to work independently and manage multiple assignments.
Detail-oriented with a focus on data accuracy and quality.

Software Engineer III - AWS, PySpark, ETL

Software Engineer III - PySpark, ETL, AWS

ETL Developer

Lead Consultant, QA Automation Engineer Data %26 ETL Testing

BI and ETL Tester

Pyspark Developer