Data Engineer

We’re Hiring: Data Engineer II (1–5 Years Experience) Location: Bangalore Team: Data Platform & Engineering

Are you excited about building data systems at

petabyte scale ? Do you enjoy optimizing distributed systems and working with modern lakehouse + cloud-native architectures?

If yes, this role is for you!

What You’ll Do Design and build scalable ETL/ELT pipelines using

Scala & Apache Spark (Batch & Streaming) Optimize Spark jobs and complex SQL queries for performance and efficiency Implement Lakehouse architectures using

Iceberg / Hudi / Delta Lake Apply

Medallion Architecture (Bronze/Silver/Gold)

for structured analytics Deploy workloads on

GCP (DataProc, BigQuery, GCS) Work with

Kubernetes (K8s) & Docker

for containerized processing Implement data quality frameworks (Deequ / Great Expectations) Contribute to infrastructure automation & CI/CD pipelines Collaborate in Agile/Scrum teams with architects & product stakeholders Explore GenAI-driven workflows for data automation

What We’re Looking For

✔ 1–5 years of hands-on Data Engineering experience ✔ Strong expertise in

Scala & Apache Spark ✔ Solid SQL and distributed computing fundamentals ✔ Experience with

GCP / AWS / Azure ✔ Hands-on experience with

Kubernetes & Docker ✔ Experience with modern Lakehouse formats ✔ Strong problem-solving and independent ownership mindset

⭐ Nice to Have ➕ Exposure to ML pipelines / Feature Engineering ➕ Airflow / Azkaban ➕ Real-time databases (Druid, ClickHouse, HBase) ➕ CI/CD for data systems

Why Join?

✨ Work on petabyte-scale systems ✨ Build next-gen cloud-native data platforms ✨ Collaborate with top-tier engineers ✨ Work with cutting-edge tech (Iceberg, K8s, GenAI)

Interested? Send your resume to nivetha.s@eminds.ai

Or comment “Interested” and we’ll reach out!