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Zinnov

Posted 24 Sep 2026

Senior Data Engineer

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Team
GE - Americas (Tech & Product)
Posted
24 Sep 2026

About the role

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.

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