Job Opportunities API

About Zinnov Zinnov 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: Where should we invest? How do we scale globally? What capabilities will win in the next decade? Our 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. At 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. Zinnov 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. About the Role   As 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.   What You’ll Do   Data Pipelines & Medallion Architecture   Build andmaintainingestion pipelines from source systems (e.g., Dynamics, Workday, Airtable, SFTP feeds).   • Design and implement Medallion pipelines (Bronze → Silver → Gold) across Finance and Hiring data.   • Build reconciliation and gating logic to ensure only validated data reaches Gold.   Multi-tenant Data Modeling   Design multi-tenant PostgreSQL schemas with row-level security (RLS) for tenant isolation. • Implement SCD2 patterns for historical tracking of hiring/finance records. • Build cross-domain enrichment pipelines (e.g., Finance + Hiring joins for cost-per-FTE and related KPIs).   APIs & Platform Integration   Build and maintainFastAPIendpoints consumed by the UI and AI layers.   • Partner closely with DevOps to deploy orchestrated pipelines on Azure (e.g., Prefect).   What You Bring   Qualifications & Experience   4+ years building production-grade data pipelines. • Strong PostgreSQL: schema design, RLS, triggers, window functions. • Strong Python for pipelines, transformations, and APIs.   • Experience with orchestration tooling (Prefect/Airflow or similar).   • Hands-on exposure to Medallion architecture and SCD2 in practice.   Key Skills   Data governance mindset—treat pipelines andGoldoutputs as platform contracts.   • Strong debugging, performance tuning, and reliability orientation.   • Comfort building for scale and reuse in a multi-tenant environment.   What Success Looks Like – Global Excellence (GE)   Data pipelines runpredictably—highreliability, clean promotions to Gold, minimal rework.   • Tenant isolation is robust—RLS works consistently and safely at scale.   • KPIs are reconcilable—Finance and Hiring views are accurate and auditable.   • Downstream teams move faster—AI and UI features ship with confidence due to strong data foundations.   If you enjoy building multi-tenant data foundations, designing pipeline contracts that scale, and enabling AI + dashboards with governed data — this role offers both impact a