Mirrai Careers

Data Engineer - R01571442

Brillio

Bangalore, Karnataka, India Posted 13d ago
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Data Engineer JOB REQUIREMENTS Key Responsibilities Logic Discovery and Requirements Analysis * Work with pricing analysts to identify custom definitions, calculations, transformations, dependencies, assumptions, edge cases, and ambiguities currently implemented in the Gold layer. * Reverse-engineer analyst-written SQL, spreadsheet logic, and ad hoc calculations to define intended business behaviour. * Translate legacy logic into clear technical requirements and migration plans. Migration to the Silver Layer * Re-implement approved pricing definitions as governed, reusable, documented dbt models in the Silver layer. * Follow data modelling, naming, testing, version control, and code review standards. * Build maintainable, scalable, auditable models independent of undocumented analyst knowledge. * Apply dbt tests for uniqueness, not-null, accepted values, relationships, and business rules. Parity Validation and Quality Assurance * Compare migrated Silver-layer results with existing Gold-layer outputs and resolve differences. * Validate results across representative periods, segments, boundary conditions, and known exceptions. * Confirm migrations only after parity review and pricing analyst approval. Analyst Collaboration and Sign-Off * Partner with pricing analysts to clarify calculations, confirm intended behaviour, and align on expected results. * Lead walkthroughs and reviews; document analyst approval before retiring legacy definitions. * Communicate risks, open questions, dependencies, and decisions to technical and business stakeholders. Documentation and Lineage * Document business meaning, calculation rules, assumptions, exceptions, source inputs, ownership, lineage, tests, and downstream consumers in dbt and Confluence. * Ensure documentation enables future engineers and analysts to maintain logic without relying on the original analyst. Gold-Layer Cleanup and Cutover * Decommission ad hoc Gold-layer logic after the Silver replacement is validated, approved, adopted, and downstream dependencies are updated. * Verify retired logic is no longer used and operational documentation reflects the new source of truth. Required Qualifications * 5–8 years of data engineering experience on analytical data platforms. * Strong SQL skills: joins, window functions, CTEs, aggregations, conditional logic, and optimisation. * Hands-on dbt experience across models, tests, documentation, and lineage. * Strong Snowflake experience, including modelling, performance tuning, and warehouse concepts. * Experience refactoring, migrating, or modernising complex analytical logic. * Ability to untangle ad hoc SQL and spreadsheet calculations and validate outputs. * Strong understanding of data quality, reconciliation, testing, and release controls. * Skilled at working with non-engineering stakeholders to clarify requirements and validate outcomes. * Excellent communication and documentation habits. Core Skills and Tools * SQL; Python a plus * Snowflake * dbt, dbt Cloud * Airflow * Confluence, Jira, Slack * Data modelling, quality validation, reconciliation, migration planning, stakeholder collaboration, and technical documentation.

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