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Job Description & How to Apply Below
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 (Data Proc, Big Query, 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, Click House, 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
Or comment “Interested” and we’ll reach out!
Position Requirements
5+ Years
work experience
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