Role Overview

We are seeking a Senior Data Engineer to architect and build a scalable, production-grade data platform that supports product analytics, operational intelligence, AI/ML use cases, and decision-making across HomeVerse. This is a senior individual-contributor role with significant ownership over architecture, engineering standards, reliability, and the evolution of the data ecosystem.

Key Responsibilities
Design and build scalable batch and real-time data pipelines across product databases, third-party APIs, event streams, and unstructured sources.
Own data architecture across ingestion, storage, transformation, orchestration, serving, observability, and access layers.
Develop robust ELT/ETL workflows with solid handling of schema evolution, backfills, retries, lineage, and data freshness.
Establish data quality, testing, reconciliation, monitoring, and alerting standards for business-critical datasets.
Build performant data models and semantic layers that enable reliable self-service analytics and downstream consumption.
Partner with backend, product,



analytics, and AI/ML teams to define data contracts and production-grade interfaces.
Make sound build-versus-buy and architectural decisions, balancing scalability, maintainability, security, and cost.
Implement governance, access control, privacy, and auditability appropriate for a financial-services workplace.
Drive infrastructure-as-code, CI/CD, code review, documentation, and engineering standards across the data stack.
Mentor engineers and contribute to technical hiring and capability building as the function scales.

Required Qualifications
Minimum 8 years of relevant experience in data engineering, including ownership of large-scale or business-critical data platforms.
Expert-level SQL and robust Python; solid software engineering fundamentals including testing, version control, modular design, and code review.
Deep hands-on experience with at least one major cloud pla

📌 Senior Data Engineer Gurugram
🏢 Hero FinCorp
📍 Gurugram