Client: A global online sports betting company dedicated to building world-class technology products.
Position overview: An experienced Automation Engineer in Test reporting directly to the Test Manager, working in a small agile team alongside SEITs, DevOps Engineers, and Data Engineers to ensure high-quality delivery.
Responsibilities: Design, build, and maintain data and reporting solutions using contemporary technologies.
Test and develop Integration layer changes, ensuring user stories meet quality standards.
Develop and maintain automated test frameworks for ETL, Big Data, API, and database validations.
Perform comprehensive test analysis and collaborate across cross-functional Agile teams.
3+ years of demonstrated experience with validation in Databricks.
In-depth experience in developing and maintaining automated test suites.
Proficiency in Python (preferred) and SQL.




Hands-on expertise with key test frameworks (BDD, Hybrid, PyTest, Allure).
Robust skills in Database, ETL, Big Data, and API validations.
Experience with CI/CD tools (Jenkins, GitHub Actions) and source control (Git).
Familiarity with AWS infrastructure and storage technologies (AWS, Databricks, S3, DynamoDB, Delta Lake, SQL).
Solid background in Agile ways of working.
Nice to have: Experience with streaming technologies (AWS Kinesis, Apache Kafka, Amazon MSK).
Familiarity with direct query engines (AWS Athena, Presto, Databricks SQL).
Experience using Jira and XRAY for test management.
Exposure to monitoring tools (Prometheus, Alert Manager, Grafana Loki).

📌 Senior Data Qaa Engineer Bengaluru (India)
🏢 DataArt
📍 India