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Established global brand, Chennai metro location, generic senior engineering title increases applicant density.
Technical data engineering skills transfer across industries, though healthcare domain knowledge helps.
Requires expert Snowflake/DBT/AWS/Python and enterprise DW experience, enforcing strict technical filters.
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Lead architecture, design, and delivery of Sales & Marketing Data Analytics platforms and pipelines using Snowflake, DBT, and AWS.
Own end-to-end delivery of complex data initiatives including production support, performance optimization, and reliability improvements.
Mentor engineers and collaborate with Product and Analytics stakeholders to shape technical roadmaps and best practices, including AI-assisted engineering adoption.
Significant professional experience designing and operating enterprise data warehouse solutions.
Strong expertise in Snowflake, DBT, SQL, dimensional data modeling, and AWS data platforms.
Proficiency in Python development, building production-grade CI/CD pipelines with GitHub and Jenkins or equivalents.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in leading technical delivery and mentoring team members in a data analytics or engineering environment.
Skilled in building scalable, reliable, and secure data platforms with a focus on sales and marketing data use cases.
Able to independently influence technical direction and collaborate across functions, including exposure to AI-assisted engineering or specification-driven development.