Manpower Singapore

Data Engineering - Test Engineer

Job description

Role & Responsibilities

Will be aligned with Customer Delivery project and will be responsible for testing various data warehouse / data mart solutions using Azure services and tools.

  • Working on customer projects
  • Analyze requirements, existing application.
  • Design and development of test plan, cases, and scripts.
  • Ensure that the critical test scenarios for release testing.
  • End to end Execution of tests cases, scripts, validate, reconciliation.
  • Deliver test plan/ cases in accordance with enterprise standards and within development and operational guidelines.
  • Collaborate with relevant team members (BA's, Dev and QA) to understand project scope and identify and prioritize test cases and scripts and execution across data lifecycle of delta LakeHouse!
  • Perform reviews of application code
  • Develop in-depth system and application knowledge for higher test quality and coverage.

Must Have Skills

  • ETL Testing experience with exposure to Data Quality/Data Cleansing on Cloud platform preferably Azure.
  • Hands-on on SQL and database concepts.
  • Knowledge and experience of full software testing life cycle, Agile and DevOps
  • Working & execution of different data management services.
  • Good experience in QC. / Test case preparation. & execution
  • Proven experience to implement BDD as a methodology for mid to large scale projects (1-2 years)
  • Participate in story mapping sessions to define Acceptance Criteria
  • Experience in implementing the test automation in agile & DevOps environments (2-5 years)
  • JMeter, Pytest, Selenium and other data testing tools.
  • Experience with at least one CI/CD tools set (1+ years)
  • Familiarity with multiple test automation design patterns (Page Object Model, Data-driven, Keyword driven, Screen Play)
  • Familiar with Azure Cloud services such as Azure Data Factory, ADLS, Blob, Azure Databricks.
  • Familiar with data ingestion, data processing and analytical pipelines for big data, relational databases, and data warehouse solutions.
  • Knowledge and experience in tuning ETL/ELT processes and SQL queries
  • 3+ years of experience in data warehouse /or big data projects environment.

Good To Have Skills

  • Experience and Knowledge on Databricks
  • Exposure in DevOps/DataOps in Azure.
  • Test Automation for Mobile, Web & API testing, REST-Assured


  • Engineering graduates with a Computer Science background.
  • Ability to hold dialogue with a client's business and technical stakeholders.
  • Good knowledge on execution of ETL/DQ/MDM jobs

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