# Senior Data Engineer at Zinnov

Senior Data Engineer at Zinnov in Koramangala, Bangalore, Karnataka, India. Posted May 12, 2026.

- Company: Zinnov
- Location: Koramangala, Bangalore, Karnataka, India
- Experience: 4+ years
- Posted: 2026-05-12
- Apply: https://job-boards.greenhouse.io/zinnov/jobs/4243730009
- Source: https://jobmagic.ai/jobs/senior-data-engineer-zinnov-0hxtwf

## Requirements

- 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.

## 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.