Senior Data Engineer

Job description

### 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 maintain Fast API endpoints 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 – Globalization 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 and progression. **Zinnov is an equal opportunity employer.** We celebrate diversity and are committed to building an inclusive workplace. We welcome applications from individuals of all backgrounds, communities, and experiences.