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Protocol Intelligence
Data-driven signals on your job's competitivenessHyderabad metro, common senior data title, and mid-level experience create moderate applicant density.
Core data engineering skills transferable, though Snowflake/dbt specialization and healthcare context raise moderate sector sensitivity.
Explicit 5+ years plus mandatory Snowflake and dbt skills makes shortlisting stringent and technical.
Job Description
Structured overview of role & requirementsAbout This Role
Design, build, and optimize scalable cloud data pipelines and data models using Snowflake and dbt.
Develop and maintain ELT pipelines with focus on SQL optimization, dimensional modeling, and automated data quality/testing using dbt.
Collaborate with data engineering and business teams to deliver high-quality, governed, and performant data products and support CI/CD deployment processes.
Minimum Requirements
Strong hands-on experience with Snowflake and dbt.
5+ years of experience in Data Engineering including significant hands-on experience with Snowflake and dbt.
Advanced SQL skills with query optimization experience; understanding of data warehousing and dimensional modeling (fact/dimension tables, SCD).
Experience with Git, CI/CD development practices, and implementing data quality/testing/monitoring frameworks.
Ideal Candidate Profile
Experienced in building and optimizing cloud-based ELT pipelines and data transformation frameworks in enterprise environments.
Proficient in dimensional data modeling following modern data warehouse practices with a focus on performance and cost optimization.
Ability to collaborate closely with cross-functional teams and maintain engineering standards for SQL and dbt development in a governed data environment.