Data Test Engineer( SQL / Python for test automation /Data warehouse /ETL testing/Databricks /Azure DevOps Test Plans) AM
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Job Description
Data Test Engineer
We are looking for a Data Test Engineer with 4 to 5 years of experience to test data pipelines and reports on an enterprise finance data platform on Azure, Databricks and Snowflake. You will plan and run tests that confirm data is loaded, transformed and reported correctly, from source systems through to Power BI.
KEY RESPONSIBILITIES
Write test plans and test cases for ingestion, transformation and reporting
Test data loads from source systems, including record counts, completeness and field-level checks
Test Databricks transformations against source-to-target mappings
Test Snowflake data products and access rules
Test Power BI reports, including figures, filters, security and performance
Automate repeatable data tests using Python and SQL
Run regression tests for each release through Azure DevOps
Log and track defects, and retest fixes
Support user acceptance testing with finance users
Report test progress and results
TECHNICAL SKILLS
Must-have
SQL
Python for test automation
Data warehouse and ETL testing
Databricks or Snowflake
Power BI report testing
Azure DevOps Test Plans or Jira
Good-to-have
pytest
Great Expectations
Performance testing
Power BI tools such as DAX Studio
DOMAIN KNOWLEDGE
Finance data and reconciliations
Month-end close and tax processes
CERTIFICATIONS (GOOD TO HAVE)
ISTQB Certified Tester Foundation Level (CTFL)
SnowPro Core
EXPERIENCE AND QUALIFICATIONS
4 to 5 years in software or data testing, with at least 2 years testing data warehouses or data platforms
Tested finance or banking systems
Degree in engineering or computer applications (B.E., B.Tech or MCA)
Requirements
Function: Research
Experience Level: Mid-Senior Level