Big Data/Hadoop Engineer – India – Bangalore

last updated November 17, 2025 13:43 UTC

Rackspace

HQ: Hybrid

more jobs in this category:

  • -> Website & App Tester @ PingPong
  • -> Entry Level Content Writer @ Jerry
  • -> Code Challenge Reviewer - Review Code In Your Spare Time - £50 Per Hour @ Geektastic
  • -> Frontend Developer (React) @ Cake
  • -> Frontend Engineer @ Torc
We are hiring for Big Data / Hadoop Engineer
Exp – 3+yrs
Location – Bangalore ( 3days WFO)
Notice Period – Less than 30days only
. Big Data Development: Design, build, and maintain robust and scalable data pipelines for ETL/ELT processes using tools within the Hadoop ecosystem.
. Programming & Scripting: Develop complex data processing applications using Spark (with Python/Scala/Java) and implement efficient jobs using Hive and Pig.
. Hadoop Ecosystem Mastery: Work extensively with core Hadoop components including HDFS, YARN, MapReduce, Hive, HBase, Pig, Sqoop, and Flume.
. Performance Tuning: Optimize large-scale data processing jobs for speed and efficiency, troubleshooting performance bottlenecks across the cluster.
. Data Modeling: Collaborate with data scientists and analysts to design and implement optimized data models for the data lake/warehouse (e.g., Hive schema, HBase column families).
. Workflow Management: Implement and manage job orchestration and scheduling using tools like Oozie or similar workflow managers.
. Operational Support: Monitor, manage, and provide L2/L3 support for production Big Data platforms, ensuring high availability and reliability.
Apply info ->

To find out more about this job, please visit this link

Shopping Cart
There are no products in the cart!
Total
 0.00
0