Test Automation Engineer

TRINITY CONSULTING SERVICES PTE. LTD.; Singapore; On-site; SGD 90,000 - 140,000; Full time

Job summary

TRINITY CONSULTING SERVICES PTE. LTD. in Singapore is seeking an experienced Software Test Engineer to verify quality across ETL and data processing pipelines.

You will work in Agile teams, perform data validation and automation, write tests in Java/Spark environments, and contribute to CI/CD using Jenkins, GitLab, or Azure DevOps.

Qualifications

• Minimum 4–6 years of relevant software testing experience.
• Good understanding of Agile/Scrum and ETL testing.
• Strong hands-on with MS SQL Server and T‑SQL; Java/Spark testing experience.
• Automation experience using Java, JUnit/TestNG, Maven/Gradle; data-driven tests.

Skills

Software testing

Agile/Scrum

ETL testing

Data validation

Data reconciliation

Source-to-target testing

MS SQL Server

T-SQL

Java

Spark

Automation testing

JUnit/TestNG

Maven/Gradle

CI/CD

Git

Job description

• Must have a minimum of 4-6 years’ relevant experience in software testing.
• Good understanding & working knowledge of Agile/Scrum
• 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.