Hadoop Developer With Python

Details of the offer

Hadoop Developer with Python Only W2 (Citizen,TN, GC, GC EAD and H4EAD) Location: Chicago, IL / Denver, CO Duration: 12 Months Must-Have Skills: Hadoop: Extensive experience with Hadoop ecosystem and related technologies Programming: Proficiency in Python (or Scala) SparkSQL: Strong skills in Spark SQL for data processing and analysis SQL: Proficiency in at least one of the following: MySQL, Hive, Impala Data Ingestion: Experience with ingesting data from various sources (message queues, file shares, REST APIs, relational databases) and handling different data formats (JSON, CSV, XML).
Spark Structured Streaming: Experience working with Spark Structured Streaming for real-time data processing.
Responsibilities: Design, develop, and maintain data pipelines using Hadoop, Spark, and Python/Scala Ingest data from various sources and transform it into usable formats Optimize Spark/MapReduce and SQL jobs for performance Work in an Agile development environment, collaborating with cross-functional teams Utilize version control systems like SVN, Git, or Bitbucket Deploy and manage applications using Jenkins and handle Jar management Qualifications: Strong understanding of Big Data concepts and technologies Hands-on experience with Hadoop, Spark, Sqoop, Kafka, MapReduce, and NoSQL databases (HBase, Solr, etc.)
Proficiency in Python or Scala for data processing and scripting Experience with Linux operating system Familiarity with data visualization tools like Elastic Search and Kibana Ability to work independently and as part of a team Excellent communication and problem-solving skills Adaptable and eager to learn new technologies


Nominal Salary: To be agreed

Source: Appcast_Ppc

Requirements

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