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Metro locations and common data engineering title increase applicant competition.
Core technical data engineering skills transfer across industries, though healthcare domain knowledge is only a 'good to have'.
Explicit 6–9 years requirement and mandatory Snowflake/ADF/DBT skills make shortlisting strict.
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Design, develop, and maintain scalable data pipelines using Snowflake, SQL, Azure Data Factory (ADF), and DBT for healthcare data solutions.
Monitor, support, troubleshoot, and ensure high availability and reliability of data pipelines and production environments.
Collaborate cross-functionally for requirement gathering, solution design, and implement process documentation and performance improvements.
6 – 9 years of relevant work experience.
Hands-on experience with SQL, Azure Data Factory (ADF), Snowflake, and DBT mandatory.
Engineering degree required (BE/ME/BTech/MTech/BSc/MSc).
Location options: Mumbai, Pune, or Chennai.
Experienced in data pipeline orchestration, optimization, and incident management with strong troubleshooting and RCA skills.
Familiar with cloud-based analytics solutions and comfortable working in Agile environments.
Exposure to AI tools such as Snowflake Cortex and healthcare data domain is a plus but not mandatory.