Data Technology Engineer – Platform & Integration (Full‑Stack)

Location: Pune
Department: Data Technology / Platform Engineering

Role Summary

We are looking for a Data Technology Engineer to design, build, and run secure, multi‑tenant data platform capabilities. This role focuses on platform services, integration, orchestration, security, and observability, enabling teams to reliably access, integrate, and operate data pipelines at scale.

This is a contemporary cloud‑native platform role—ideal for engineers who enjoy working across Kubernetes, APIs, data orchestration, and developer experience, while partnering closely with security and risk stakeholders.

What You’ll Do
Design and evolve multi‑tenant platform architecture
Build secure access patterns for data services and APIs
Deliver integration and API management capabilities (Kong or similar)
Enable data virtualisation via Trino or query federation tools
Operate Airflow as a platform service with production standards




Implement end‑to‑end observability aligned to SLOs
Improve CI/CD, artefact promotion, and developer experience
Collaborate with security, risk, and engineering teams

Key Skills & Experience
Robust experience in Kubernetes or cloud‑native platform engineering
Exposure to multi‑tenant platform architectures
API management or integration tooling (Kong, Apigee, gateways)
Airflow in production environments
Observability tooling (Prometheus, Grafana, tracing)
Data access technologies (Trino, federation, or query engines)
Solid engineering fundamentals: version control, CI/CD, IaC concepts

Nice to Have
Security, audit, or policy‑as‑code exposure
Container image management (Harbor or similar)
Data storage experience (S3, Hive, RDBMS)
Experience building internal developer platforms

📌 Data Technology Engineer Pune Mumbai (India)
🏢 Important Group
📍 India