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.