Urgent Need Hadoop Technical lead For fulltime Irving TX

Visionisys

$100K — $130K *
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 8+ years of experience in Big Data technologies.
  • Proficient in Hadoop ecosystem tools like HDFS, MapReduce, Pig, Hive, Sqoop.
  • Hands-on experience with data visualization tools such as Cognos and Tableau.
  • Strong understanding of cloud data solutions, particularly with CDH.
  • Familiarity with Agile project management methodologies.
  • Excellent communication and client engagement skills.

Responsibilities

  • Lead multiple proofs of concept (POCs) using BI clusters on Big Data technologies.
  • Configure and test various use cases for data management.
  • Deliver findings related to Catalog Management and Data Visualizations for business teams.
  • Design Big Data solutions tailored to business requirements.
  • Utilize tools like Spark and Kafka for advanced data processing.
  • Collaborate with virtual teams to drive project execution.
  • Implement advanced analytics techniques for data insights.

Benefits

  • Opportunity to work with cutting-edge Big Data technologies.
  • Exposure to a collaborative environment with virtual teams.
  • Skill enhancement through diverse project challenges.
  • Engagement with multiple business units across Citigroup.
Full Job Description
Role: Technical lead Hadoop

Location: Irving TX

Duration: Fulltime

Experience: 8+ years

Big Data HDFS, MapReduce, Pig, Hive, Sqoop, Oozie, Zookeeper, Flume and HBase, , Spark, Kafka, Storm, Impala, Teradata, Cognos

Description

Associate has to work in multiole POCs using BI's cluster on various Big Data technologies. Work requires configuration, testing with various use cases and providing the findings in the areas of Catalog Management, Streaming, Data Visualizations ETL for multiple business teams in Citigroup

Development will include Cognos, Tableau, Platfora, Qlikview and Datameer tools

Associate will be in a position to design Big data solutions for business needs and so should have a very good hands on experience on all the Big Data technologies
• Big data analyst with broad understanding of CDH, Big data ECO system tech stack and Apache Spark Framework.
• Thorough working knowledge of Hive, Impala, HBase, Spark SQL, NoSQL and ELT and experience in handling different data formats.
• Knowledgeable of open source and commercial analytic packages to architect solutions in big data platform.
• Understanding of advanced analytics (such as predictive, prescriptive..) and tool sets.
• Comfortable working/leading virtual teams, Agile PM.
• Strong communication and client management skill

Thanks & Regards

Mohammed Siddiq

Visionisys Inc

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