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Job Description
Structured overview of role & requirementsAbout This Role
Design and execute comprehensive test plans and data validation for ETL/ELT pipelines, including source-to-target mapping and business transformation rules.
Validate Snowflake cloud data pipelines, tables, views, and transformations ensuring data accuracy and integrity using SQL and Python scripts for automation.
Manage defect lifecycle, collaborate with cross-functional teams, and actively participate in Agile ceremonies to ensure quality assurance of healthcare data products.
Minimum Requirements
8 to 12 years of relevant experience in ETL/Data Warehouse testing with healthcare domain expertise (mandatory).
Strong proficiency in advanced SQL, Snowflake platform, and Cloud platforms including Azure, AWS, GCP, or Databricks.
Hands-on experience with Python scripting for test automation and data validation; knowledge of ETL tools such as ADF, Informatica mandatory.
Engineering degree (BE/ME/BTech/MTech/BSc/MSc) required; technical certifications desirable, location flexible among Mumbai, Pune, Bangalore, Chennai.
Ideal Candidate Profile
Experienced senior engineer with strong domain knowledge of healthcare data and proven expertise in ETL testing within cloud environments.
Detail-oriented operator capable of designing complex test cases for data pipelines and managing end-to-end defect lifecycle in Agile delivery.
Skilled in cross-team collaboration including Data Engineers, Business Analysts, with ability to translate healthcare data requirements into effective test strategies.