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Protocol Intelligence
Data-driven signals on your job's competitivenessMid-level data engineer in Bangalore with popular title, metro location, and broad skills attracts strong competition.
Core data engineering skills transferable, but pricing-domain knowledge and dbt/Snowflake expertise increase domain specificity.
Explicit 5–8 years requirement plus mandatory dbt and Snowflake skills narrows candidate pool significantly.
Job Description
Structured overview of role & requirementsAbout This Role
Analyze and reverse-engineer complex pricing logic from SQL and spreadsheets to define clear technical requirements and migration plans.
Re-implement pricing models as governed, reusable dbt models in Snowflake's Silver layer, ensuring data quality through testing and validation.
Lead parity validation between legacy Gold-layer outputs and new Silver-layer models, collaborate with analysts for approval, document thoroughly, and decommission legacy logic.
Minimum Requirements
5–8 years of data engineering experience on analytical data platforms.
Strong SQL skills including joins, window functions, CTEs, aggregations, conditional logic, and optimization.
Hands-on experience with dbt for models, tests, documentation, and lineage.
Strong Snowflake experience including modelling, performance tuning, and warehouse concepts.
Ideal Candidate Profile
Experienced in migrating and modernizing complex analytical logic with ability to untangle ad hoc SQL and spreadsheet calculations.
Skilled at ensuring data quality, testing, reconciliation, and release controls within analytical data workflows.
Effective collaborator with non-engineering stakeholders to clarify requirements, validate outcomes, and maintain thorough documentation.