Senior Data Engineer at Zinnov

Koramangala, Bangalore, Karnataka, IndiaFull-timeGE - Americas GCoE (Tech & Product)Posted 30 days ago

About the Role

<div class="content-intro"><h3 data-start="401" data-end="419">About Zinnov</h3> 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: <ul data-start="732" data-end="840"> <li style="font-size: 10pt; font-family: tahoma, arial, helvetica, sans-serif;" data-start="732" data-end="759"> Where should we invest? </li> <li style="font-size: 10pt; font-family: tahoma, arial, helvetica, sans-serif;" data-start="760" data-end="789"> How do we scale globally? </li> <li style="font-size: 10pt; font-family: tahoma, arial, helvetica, sans-serif;" data-start="790" data-end="840"> What capabilities will win in the next decade? </li> </ul> 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.</div>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  <ul> <li> 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. </li> </ul> Multi-tenant Data Modeling  <ul> <li> 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). </li> </ul> APIs & Platform Integration  <ul> <li> Build and maintainFastAPIendpoints consumed by the UI and AI layers.  • Partner closely with DevOps to deploy orchestrated pipelines on Azure (e.g., Prefect). </li> </ul> What You Bring  Qualifications & Experience  <ul> <li> 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. </li> </ul> Key Skills  <ul> <li> 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. </li> </ul> What Success Looks Like – Global Excellence (GE)  <ul> <li> 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. </li> </ul> 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. <div class="content-conclusion">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.</div>

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