Match Score
Against your primary resumeLogin to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Protocol Intelligence
Data-driven signals on your job's competitivenessLog in to see why each signal reads the way it does.
Job Description
Structured overview of role & requirementsAbout This Role
Design, execute, and optimize test plans and automation for ETL/ELT data pipelines, ensuring data accuracy, completeness, and transformation correctness.
Validate data warehouses and cloud data platforms (e.g., Snowflake, Azure SQL Managed Instance) by performing data reconciliation, integrity checks, and defect lifecycle management.
Collaborate with data engineers and stakeholders during Agile development to maintain high quality of healthcare data products and pipeline orchestrations in Azure Data Factory.
Minimum Requirements
8 – 12 years of professional experience in ETL/Data Warehouse testing and data validation.
Engineering degree (BE/ME/BTech/MTech/BSc/MSc) required.
Mandatory skills: SQL, Python scripting for test automation, Azure Data Factory pipeline validation, Snowflake, Azure Cloud services, healthcare domain expertise.
Location options: Mumbai, Pune, Bangalore, Chennai.
Ideal Candidate Profile
Experienced in complex data validation and automation in healthcare IT environments, with strong understanding of data models and Slowly Changing Dimensions (SCD).
Proficient in Python automation frameworks (e.g., Robot Framework, Pytest) and skilled in cross-platform SQL query optimization and execution.
Comfortable working in Agile teams collaborating with data engineers, analysts, and healthcare SMEs to deliver scalable, high-integrity data testing solutions.