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Indore · Remote · 0-3 Yrs · Sep 28
6 open roles0 posted in 7d6 in 30d
Hiring: Engineering
Job description
Remote
Overview
What role will you play in the teamYou will play a pivotal architectural role within our core data engineering division, focusing entirely on scaling and optimizing massive distributed data processing frameworks.
Responsibilities
- Design and maintain robust Apache Hadoop and Apache Spark distributed clusters for high-throughput batch processing.Configure and manage Apache Kafka event streaming platforms to ingest and process real-time telemetry data streams.
- Develop and optimize complex ETL data pipelines utilizing Talend and Apache Nifi for seamless data integration.Monitor cluster performance, troubleshoot memory bottlenecks, and tune distributed computing jobs for optimal resource utilization.
- Implement enterprise-grade security, data governance, and access controls across HDFS and distributed data lakes.
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Job application FAQ
Last updated 27 October 2026
- How do I apply for Big Data Hadoop and Apache Spark Infrastructure Engineer at Hirestar job Bank?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Hirestar job Bank may attach structured assessments to interview rounds after you apply.
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- Is Big Data Hadoop and Apache Spark Infrastructure Engineer remote or on-site in Indore, Madhya Pradesh?
- This listing is marked remote with location Indore, Madhya Pradesh. Confirm details on the job description before applying.
- What skills matter for this Big Data Hadoop and Apache Spark Infrastructure Engineer role at Hirestar job Bank?
- This is a mid-level Big Data Hadoop and Apache Spark Infrastructure Engineer role. Key skills include Remote. Feedback AI highlights matched vs missing skills on your profile after signup.