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Tier-1 brand and metro location increase competition, but senior specialized dbt/Snowflake requirements reduce applicant pool.
Enterprise data warehousing expertise (Snowflake, dbt, Data Vault) moderately favors candidates with similar industry experience.
Requires senior-level domain expertise with mandatory Snowflake, dbt and Data Vault experience, making filters stringent.
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Lead design, development, and lifecycle management of complex data solutions across non-production and production environments.
Own implementation and optimization of enterprise data warehousing using Snowflake and data modeling with Data Vault 2.0 and Kimball methodologies.
Drive data ingestion, transformation, and CI/CD processes primarily using dbt, ensuring quality through testing, code reviews, and coordinating UAT with clients.
Expert-level experience with data ingestion and transformation tools, especially dbt for modeling and pipelines.
Proficiency with Snowflake including SnowSQL and Snowpipe for data warehousing and performance tuning.
Strong background in advanced data modeling methodologies: Data Vault 2.0, Dimensional Modeling (Kimball), Star Schema.
Work Experience Required: Not explicitly mentioned in the JD. Location: Chennai, Tamil Nadu, India.
Experienced data engineer with leadership experience coordinating between business teams and technical delivery in data warehousing environments.
Proven ability to manage end-to-end data engineering lifecycle including CI/CD, testing standards, and documentation (HLD/LLD).
Strong operational expertise with complex data models and Snowflake, capable of technical debt mitigation and delivering client-ready solutions.