Greetings from Doodleblue Innovations!

We are hiring for a QA Automation Engineer – Data Engineering

Work Mode: Remote

Experience: 4-6 Years

We're looking for a skilled QA Automation Engineer with experience in Data Engineering validation and automation testing for contemporary cloud-based data platforms.

If you have hands-on expertise in validating Databricks-based data pipelines, automating ETL testing, and ensuring data quality across enterprise analytics platforms, we'd love to hear from you!

Key Skills:

- Strong expertise in SQL, Python, PySpark, and Databricks
- Experience in ETL/Data Pipeline Testing and Automation
- Hands-on experience with Batch Pipelines, Incremental Loads, and CDC Pipelines
- Knowledge of Medallion Architecture (Bronze, Silver, Gold)
- Experience validating Delta Lake, Databricks Workflows, and Spark-based transformations
- Strong understanding of data quality validation, source-to-target testing, and business rule validation




- Experience integrating automated test suites into CI/CD pipelines

Experience Required:

- 4–6 years of QA/Data Testing experience
- 2+ years of experience in Databricks/Data Lakehouse projects
- Experience working in Agile/Scrum environments
- Databricks, Cloud, or Testing certifications are a plus

Interested candidates can share their resumes to [email protected]

Job Types: Full-time, Permanent

Pay: From ₹600,000.00 per year

Application Question(s):

- How many years of experience as a QA Automation Engineer – Data Engineering?
- How many years of experience in Databricks/Data Lakehouse projects?

Experience:

- Databricks/Data Lakehouse: 2 years (Required)
- QA Automation Engineer – Data Engineering: 4 years (Required)

Work Location: Remote

📌 QA Automation Engineer – Data Engineering (India)
🏢 Doodleblue Innovations
📍 India