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Azure Data QA Tester

4 hours ago


Toronto, Ontario, Canada Ccube Full time
Hello Data Tester Professional Hope you are doing well

We are looking for an "Azure Data QA Tester in Toronto, ON for a (Hybrid Role)."
  Below is the JD for review.
  Job Title: Azure Data QA Tester (Azure Databricks)
Location: Toronto, ON (Hybrid)
Full Time
Experience: 5-10+ Years

Must have:
  • ETL/Data Testing/Azure Databricks + Azure Data Factory: 4 years (Required)
  • Strong SQL + Python/Py Spark: 3 years (Required)
Job Description (Responsibilities)
  • Perform ETL testing on large-scale data pipelines built using Azure Databricks and Azure Data Factory
  • Validate data flow from multiple source systems to target databases
  • Test complex data transformation and consumer merge business rules
  • Execute API test scenarios and validate JSON/XML responses
  • Write and execute complex SQL queries for data validation
  • Perform data validation using SQL, Python, and PySpark
  • Validate source, staging, and target tables in Databricks
  • Design, build, and maintain automated test frameworks using PyTest
  • Automate recurring data quality and regression test cases
  • Log, track, and validate defects using Jira
  • Create and manage test cases in TestRail
  • Work closely with development teams to recreate and validate defects
  • Participate in daily agile stand-ups and update task status in Jira
  • Maintain code quality using Git and SonarQube
Required Skill Sets:
  • 5+ years of experience in ETL / Data Testing projects
  • Strong hands-on experience with Azure Databricks
  • Working experience with Azure Data Factory
  • Excellent SQL skills with ability to write complex queries
  • Strong experience in Python or PySpark for data validation
  • Experience in test automation for data pipelines
  • Knowledge of data formats such as JSON, Parquet, Avro
  • Experience working with Git repositories, branches, and pull requests
  • Familiar with Jira, TestRail, and Agile methodology
  • Strong analytical and problem-solving skills
  • Ability to work independently in a remote, fast-paced environment
  • Quick learner with strong attention to data quality and accuracy