ETL Tester
5 days ago
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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