18 Sep
|
Infosys
|
Hyderabad
Position: Hadoop developer
Experience: 2 to 5 years
Location: Pan India Opening
Employment Type: Full time
Roles & Responsibilities
Design and develop Big Data solutions using Hadoop technologies.
Develop and maintain data ingestion and ETL pipelines.
Process large-scale structured and unstructured datasets.
Build Hive scripts, MapReduce jobs, and Spark applications.
Import and export data using Sqoop and other ingestion tools.
Implement real-time and batch data processing solutions.
Optimize Hadoop cluster performance and data processing workflows.
Work with HDFS, Hive, HBase, and Kafka settings.
Perform data validation, cleansing, and quality checks.
Troubleshoot production issues and optimize job execution.
Collaborate with data engineers, analysts, and business stakeholders.
Create technical documentation and support deployment activities.
📌 Hadoop Developer Hyderabad
🏢 Infosys
📍 Hyderabad