Senior Data QAA Engineer

About the Position

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 modern 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.

Requirements

• 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).
• Strong 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).