{"id":795997,"url":"https://alion.io/job/zinnov-senior-data-engineer","title":"Senior Data Engineer","company":{"id":685895,"name":"Zinnov","domain":"zinnov.com","url":"https://alion.io/company/zinnov","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":87,"open_postings":15,"ghost_share":0.133,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":74,"computed_at":"2026-11-12T10:38:37Z"}},"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":21000,"max_usd":46000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":75},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Airtable","optional":false},{"name":"Azure","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Prefect","optional":false},{"name":"Python","optional":false}],"status":"live","first_seen_at":"2026-05-12T08:22:38Z","employer_posted_date":"2026-09-24","last_verified_at":"2026-11-13T09:03:20Z","board_verified":true,"closed_at":null,"days_open":185,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":184},"description":"About Zinnov\nZinnov is a global management consulting firm that helps organizations make decisions that actually get used - and deliver results that matter. For over two decades, we’ve partnered with leading enterprises, high-growth technology companies, and investors to answer some of the toughest questions they face:\nWhere should we invest?\n\nHow do we scale globally?\n\nWhat capabilities will win in the next decade?\n\nOur work shapes market entry strategies, global operating models, M&A decisions, and long-term growth bets. We’re known for being data-led, execution-focused, and outcome-driven - not opinion-heavy slideware.\nAt Zinnov, how you work matters as much as what you deliver. We value independent thinking, crisp communication, and early ownership. With 450+ professionals across 10 global offices, we work across industries including Digital Services, ER&D, Enterprise Software, Semiconductors, Healthcare, BFSI, Automotive, Media & Telecom, and Private Equity.\nZinnov isn’t for everyone. It’s for people who want steep learning curves, honest feedback, and the chance to see their work influence real business decisions - not just presentations.\nAbout the Role \nAs a Senior Data Engineer, you will own the data foundation of Zinnov’s GCC Intelligence Platform-building reliable multi-tenant pipelines and KPI-ready datasets across Finance and Hiring domains. Your work enables downstream dashboards and AI agents to operate on clean, reconciled, governed data. \nWhat You’ll Do \nData Pipelines & Medallion Architecture \nBuild andmaintainingestion pipelines from source systems (e.g., Dynamics, Workday, Airtable, SFTP feeds).\nDesign and implement Medallion pipelines (Bronze → Silver → Gold) across Finance and Hiring data.\nBuild reconciliation and gating logic to ensure only validated data reaches Gold. \nMulti-tenant Data Modeling \nDesign multi-tenant PostgreSQL schemas with row-level security (RLS) for tenant isolation.\nImplement SCD2 patterns for historical tracking of hiring/finance records.\nBuild cross-domain enrichment pipelines (e.g., Finance + Hiring joins for cost-per-FTE and related KPIs). \nAPIs & Platform Integration \n Build and maintain Fast API endpoints consumed by the UI and AI layers.\nPartner closely with DevOps to deploy orchestrated pipelines on Azure (e.g., Prefect). \nWhat You Bring \nQualifications & Experience \n4+ years building production-grade data pipelines.\nStrong PostgreSQL: schema design, RLS, triggers, window functions.\nStrong Python for pipelines, transformations, and APIs. \nExperience with orchestration tooling (Prefect/Airflow or similar). \nHands-on exposure to Medallion architecture and SCD2 in practice. \nKey Skills \nData governance mindset-treat pipelines andGoldoutputs as platform contracts. \nStrong debugging, performance tuning, and reliability orientation. \nComfort building for scale and reuse in a multi-tenant environment. \nWhat Success Looks Like - Globalization Excellence (GE) \nData pipelines runpredictably-highreliability, clean promotions to Gold, minimal rework. \nTenant isolation is robust-RLS works consistently and safely at scale. \nKPIs are reconcilable-Finance and Hiring views are accurate and auditable. \nDownstream teams move faster-AI and UI features ship with confidence due to strong data foundations. \nIf you enjoy building multi-tenant data foundations, designing pipeline contracts that scale, and enabling AI + dashboards with governed data - this role offers both impact and progression. \nZinnov is an equal opportunity employer. We celebrate diversity and are committed to building an inclusive workplace. 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