Data Automation Engineer:
- Strong experience in ETL testing, data validation, data reconciliation, and source-to-target testing.
- Strong hands-on experience with MS SQL Server and advanced T-SQL.
- Experience testing Java/Spark-based data processing applications.
- Hands-on automation experience using Java, JUnit/TestNG, Maven/Gradle, and data-driven test frameworks.
- Ability to validate large datasets using SQL, Spark SQL, and automated comparison utilities.
- Experience with batch processing, incremental loads, data quality checks, and regression testing.
- Familiarity with CI/CD tools such as Jenkins, GitLab CI, Azure DevOps, or GitHub Actions.
- Experience with Git, scripting using PowerShell/Bash/Python, and automated test reporting.
- Ability to analyze ETL logs, Spark job logs, and SQL Server performance issues.
- Knowledge of file formats such as CSV, JSON, XML, Parquet, Avro, and fixed-width files.
- Good understanding of test data management, data masking, and production-like test data setup.
EALicense No: 11C4879 / Registration ID : R1218583
AparTechnologies Pte Ltd, Singapore