Quality Assurance Engineer

Role Overview :

We are looking for an experienced QA Engineer - Databricks with strong expertise in data testing, ETL validation, SQL, Python, and BI report testing. The candidate will be responsible for ensuring the accuracy, quality, and reliability of data and reporting solutions.

Key Responsibilities :

- Perform ETL testing and validate end-to-end data pipelines.

- Validate data accuracy, completeness, consistency, and integrity.

- Write and execute SQL queries for data validation and reconciliation.

- Perform BI Report Testing and validate reports against source data.

- Use Python for test automation, data validation, and testing activities.

- Work with Databricks and data engineering environments.

- Identify, document, and track defects using Jira.

- Collaborate with developers, data engineers, BI teams, and business stakeholders.

- Prepare and execute test cases, test scenarios, and test scripts.

- Perform regression, integration, and data quality testing.

Mandatory Skills :

- ETL Testing

- Python

- BI Report Testing

- Data Validation

- SQL

- Jira

Candidate Requirements :

- 6 - 9 years of total experience in QA/Data Testing.

- Strong hands-on experience in ETL and data validation testing.

- Good SQL and Python skills.

- Experience in BI/report testing.

- Databricks experience is highly relevant.

- Strong analytical and problem-solving skills.

- Good communication and collaboration skills.

Skills

Software Quality Assurance, Testing, Databricks, ETL/Datawarehouse Testing, SQL, Python, BI Reporting, Data Validation, Automation Testing