ETL Tester

3 weeks ago


Bengaluru Karnataka India, Karnataka UST Full time

Dear Candidates,


UST is looking for a ETL Tester with atleast 5 years of exp.


Required Experience : 5+ Years


NP : Immediate to 30 days only


Location: all UST locations (India)


Job Description

We are looking for a meticulous and proactive ETL Tester to ensure the accuracy, reliability, and performance of data pipelines built on Google Cloud Platform. This role involves validating ETL workflows, reconciling data across systems, and collaborating with developers and business stakeholders to uphold data quality standards. The ideal candidate will have experience in designing test strategies, creating reusable test assets, and automating validation processes.

Key Responsibilities

  • Design and implement comprehensive test plans, test cases, and test scenarios for ETL pipelines
  • Create and maintain test certificates and validation documentation for audit and compliance purposes
  • Perform data reconciliation and validation checks across multiple systems and sources
  • Collaborate with developers to identify and resolve data mismatches and transformation issues
  • Automate test execution using scripting tools and frameworks
  • Conduct regression, integration, and performance testing for data workflows
  • Document defects and track resolution through version control and issue tracking systems
  • Support UAT and production validation efforts with business stakeholders

Required Skills & Qualifications

  • Strong experience in ETL testing and data validation
  • Proficiency in SQL and Google BigQuery for data analysis and test design
  • Familiarity with Python or other scripting languages for test automation
  • Understanding of Apache Airflow and ETL orchestration tools
  • Experience with GitHub or similar tools for version control and collaboration
  • Excellent attention to detail and analytical thinking
  • Strong communication skills and ability to work in cross-functional teams

Nice to Have

  • Exposure to CI/CD pipelines and DevOps practices
  • Experience with cloud platforms like AWS, Azure, or GCP
  • Familiarity with data warehousing and data governance principles


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