{"id":1111160,"url":"https://alion.io/job/brillio-data-engineer-r01571442","title":"Data Engineer - R01571442","company":{"id":3063,"name":"Brillio","domain":"brillio.com","url":"https://alion.io/company/brillio","size_band":"1001-5000","is_staffing_agency":true,"is_intermediary":false,"ats_vendor":"Lever","truth_index":{"grade":"B","score":80,"open_postings":45,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":21,"computed_at":"2026-09-24T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":26000,"max_usd":55000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":9},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Confluence","optional":false},{"name":"dbt","optional":false},{"name":"Jira","optional":false},{"name":"Python","optional":false},{"name":"Slack","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-09-22T09:40:36Z","employer_posted_date":"2026-09-22","last_verified_at":"2026-09-24T13:52:05Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"Data Engineer\nJob requirements\nKey Responsibilities Logic Discovery and Requirements Analysis\nWork with pricing analysts to identify custom definitions, calculations, transformations, dependencies, assumptions, edge cases, and ambiguities currently implemented in the Gold layer.\nReverse-engineer analyst-written SQL, spreadsheet logic, and ad hoc calculations to define intended business behaviour.\nTranslate legacy logic into clear technical requirements and migration plans.\nMigration to the Silver Layer\nRe-implement approved pricing definitions as governed, reusable, documented dbt models in the Silver layer.\nFollow data modelling, naming, testing, version control, and code review standards.\nBuild maintainable, scalable, auditable models independent of undocumented analyst knowledge.\nApply dbt tests for uniqueness, not-null, accepted values, relationships, and business rules.\nParity Validation and Quality Assurance\nCompare migrated Silver-layer results with existing Gold-layer outputs and resolve differences.\nValidate results across representative periods, segments, boundary conditions, and known exceptions.\nConfirm migrations only after parity review and pricing analyst approval.\nAnalyst Collaboration and Sign-Off\nPartner with pricing analysts to clarify calculations, confirm intended behaviour, and align on expected results.\nLead walkthroughs and reviews; document analyst approval before retiring legacy definitions.\nCommunicate risks, open questions, dependencies, and decisions to technical and business stakeholders.\nDocumentation and Lineage\nDocument business meaning, calculation rules, assumptions, exceptions, source inputs, ownership, lineage, tests, and downstream consumers in dbt and Confluence.\nEnsure documentation enables future engineers and analysts to maintain logic without relying on the original analyst.\nGold-Layer Cleanup and Cutover\nDecommission ad hoc Gold-layer logic after the Silver replacement is validated, approved, adopted, and downstream dependencies are updated.\nVerify retired logic is no longer used and operational documentation reflects the new source of truth.\nRequired Qualifications\n5-8 years of data engineering experience on analytical data platforms.\nStrong SQL skills: joins, window functions, CTEs, aggregations, conditional logic, and optimisation.\nHands-on dbt experience across models, tests, documentation, and lineage.\nStrong Snowflake experience, including modelling, performance tuning, and warehouse concepts.\nExperience refactoring, migrating, or modernising complex analytical logic.\nAbility to untangle ad hoc SQL and spreadsheet calculations and validate outputs.\nStrong understanding of data quality, reconciliation, testing, and release controls.\nSkilled at working with non-engineering stakeholders to clarify requirements and validate outcomes.\nExcellent communication and documentation habits.\nCore Skills and Tools\nSQL; Python a plus\nSnowflake\ndbt, dbt Cloud\nAirflow\nConfluence, Jira, Slack\nData modelling, quality validation, reconciliation, migration planning, stakeholder collaboration, and technical documentation.","description_format":"text","description_chars":3105,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-09-22T12:06:09Z"}],"liveness":{"score":38,"band":"fade","label":"Fading","p_open":1,"p_active":0.379,"p_room":1,"age_days":1,"expected_fill_days":21,"reasons":["conf:0","agency","stale_co","velocity","win:early","comp:brand"],"computed_at":"2026-09-24T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/brillio-data-engineer-r01571442","json_url":"https://alion.io/job/brillio-data-engineer-r01571442.json","meta":{"generated_at":"2026-09-24T14:34:51Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers"}}