- Professional
- Optionales Büro in Bangalore
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.
We are hiring for Big Data / Hadoop EngineerExp - 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. Jetzt bewerben
