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Hadoop Developer - Scala / Spark job

VisionITLake Forest, CA
VisionIT jobs

Company Description

Vision Information Technologies, Inc. is comprised of three wholly-owned subsidiaries delivering a distinct range of IT practices to workforce solutions that drive operational efficiencies and innovation for customers across the globe. Through its network of specialized brands, VisionIT, VisionPRO and Prime Workforce, the company has become the partner of choice for some of the world’s leading organizations. VisionIT provides IT managed services and IT specialized practices in areas including mobile, application, enterprise integration and IT security services. VisionPRO is recognized as one of the top 30 largest IT staffing and permanent placement companies in the U.S. Prime Workforce is a global managed service provider (MSP) offering effective oversight and analytics around a companies’ contingent workforce.

Job Description

Essensial Duties:

HAdoop SCALA developer

Skill Expertise -

  • Minimum 2 years' experience in Hadoop, Scala and Spark
  • Minimum 4 years' experience in Core Java, Spring frameworks, Web services and API development
  • HTML5, CSS3, JavaScript, jQuery and latest frameworks like Angular, Node. js and backbone. (We are a full stack team)
  • Familiarity with Agile and Scrum methodologies
  • Strong SQL composition skills with Oracle/MySQL databases
  • Any experience on NO-SQL is Plus
  • Hadoop development, implementation and support
  • Good Understanding on Object Oriented Concepts
  • Ability to write MapReduce jobs.
  • Good knowledge of database structures, theories, principles, and practices.
  • Familiarity with Kafka, Nifi, AWS, Maven, Stash and Bamboo
  • Familiarity with data loading tools like Talend, Flume, Sqoop
  • Familiarity of Apache Zeppelin
  • Analytical and problem solving skills, applied to Big Data domain
  • Good aptitude in multi-threading and concurrency concepts
  • Good Understanding on Object Oriented Concepts

Responsibilities -

  • Loading from disparate data sets
  • Pre-processing using Hive and Pig
  • Translate complex functional and technical requirements into detailed design
  • Perform analysis of vast data stores and uncover insights
  • Maintain security and data privacy
  • Create scalable and high-performance web services for data tracking
  • High-speed querying
  • Propose best practices/standards
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