Python Developer

Key Responsibilities

• 5+ years of experience to design, build, and maintain scalable big data applications and storage infrastructure.
• Specialize in writing efficient data processing pipelines, managing distributed datasets, and developing custom solutions for data ingestion, transformation, and analysis across cluster systems
• Data Processing: Write and optimize MapReduce programs, and pre-process vast datasets using Hive, Pig, and Spark.
• Infrastructure Management: Install, configure, and monitor Hadoop clusters (HDFS), ensuring system performance, capacity planning, and data security.
• Programming Languages: Strong hands-on in one or more of languages: Java/ Python/Scala,
• Hadoop Ecosystem: Deep understanding of HDFS, MapReduce, YARN, Hive, Pig, and Oozie.
• Big Data Tools: Experience with Apache Spark, Kafka, and NoSQL databases like HBase.
• Education: Bachelor's degree in Computer Science, Software Engineering, or a related technical field

Immediate- serving NP until month end preferred.

Note: Final round will be In person interview.