Data Engineer (India)

Data Engineer (India) — Data Engineer – India

Join a fast‑growing tech team that builds large‑scale data pipelines and analytics platforms for cloud‑native enterprises. You’ll design, develop, and optimise end‑to‑end big‑data solutions, leveraging modern cloud services and DevOps practices.

What You’ll Do
Design and implement big‑data ingestion and stream‑processing workflows.
Optimise data storage layers for performance and cost efficiency.
Build advanced analytical and reporting applications on public clouds.
Develop ETL pipelines using Spark, SQL, and NoSQL technologies.
Collaborate with cross‑functional teams via GitHub, CI/CD, and Docker.
Maintain and monitor cloud infrastructure, primarily AWS.
Document architecture decisions and data‑flow diagrams.

What You Need
7+ years designing and developing big‑data systems.
3+ years of Python development plus expertise in Java or Scala.
Hands‑on experience with AWS or Azure cloud services.
Proficiency in SQL, NoSQL, and Spark.
Strong understanding of database architecture, data warehousing, and SOA.
Familiarity with GitHub, CI/CD pipelines, and Docker containers.
Ability to troubleshoot and optimise large‑scale data workloads.

Good to Have
Experience with additional cloud platforms (e.g., GCP).
Knowledge of advanced cloud security and cost‑management practices.

The Opportunity
This role sits within a dynamic engineering group tackling high‑impact data challenges, offering exposure to leading cloud technologies and a chance to shape the company’s data strategy.