Brillio
From company careers site
Data Engineer - R01571442
- Location
- Bangalore, Karnataka, India
- Work mode
- Hybrid
- Employment type
- Full-time
About the job
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.
From Brillio's careers page (Lever), checked 29 Oct 2026.
How to apply
- Select Apply on brillio.com. It opens Brillio's own application form in a new tab, run on Lever.
- Fill in the form and upload your résumé there. Jobiwork never sees your application.
- Brillio will reply to you directly. No real employer asks you for money to apply.
Posted 22 Sept 2026 · checked 29 Oct 2026 · Report this job