Test Analyst (Data)

GIENTECH SINGAPORE PTE. LTD.; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

A technology company in Singapore is looking for a Software Testing Engineer responsible for designing and executing automated test cases for Data Lake platforms. The ideal candidate should have over 3 years of experience in software testing, including automation for data platforms, and be familiar with ETL workflows and big data technologies. Proficiency in tools like Selenium and SQL is a must. Join us to ensure data integrity and validate workflows across APIs and ETL processes.

Qualifications

• 3+ years in software testing with at least 2 years in automation.
• Strong experience in Data Lake / Data Warehouse environments.
• Proficiency in automation tools and scripting languages.

Responsibilities

• Develop and maintain automated test scripts for data ingestion.
• Validate data consistency across environments.
• Collaborate with developers to integrate tests into CI/CD.

Skills

Automated testing

Data validation

Collaboration

API testing

JIRA management

Tools

Selenium

TOSCA

PyTest

SQL

Hadoop

Spark

Job description

Role Overview

Responsible for designing and executing automated test cases for Data Lake platforms, ensuring data integrity, and validating workflows across APIs and ETL processes.

Core Responsibilities

• Develop and maintain automated test scripts for Data Lake ingestion and transformation pipelines.
• Validate data consistency and schema compliance across environments.
• Collaborate with developers and data engineers to integrate tests into CI/CD pipelines.
• Perform API testing (REST, FIX) and data validation using SQL.
• Manage defects via JIRA and ensure timely resolution.
• Prepare test reports and dashboards for stakeholders.

Requirements

• 3+ years in software testing with at least 2 years in automation for data platforms.
• Strong experience in Data Lake / Data Warehouse environments.
• Proficiency in automation tools (e.g., Selenium, TOSCA, PyTest) and scripting languages (Python/Java).
• Familiarity with ETL workflows, big data technologies (Hadoop, Spark), and cloud platforms.
• Knowledge of Agile and DevOps practices.