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Job Id : 4709

Jobtitle : Hadoop Developer

Location :  San Jose, CA

Company Name : Spar Information Systems

Industry : Information Technology

Salary : $20 - $100  HOUR

Job type : Fulltime

Posted on: 2019-09-25


Required Skills : Python, Java, Scala, Shell Scripting

Benefits : No benefits are available


Job Decription :

  • Designing, develop & tune data products, applications and integrations on large scale data platforms ( Hadoop , Kafka Streaming, Hana , SQL server etc) with an emphasis on performance, reliability and scalability and most of all quality.
  • Analyze the business needs, profile large data sets and build custom data models and applications to drive the business decision making and customers experience
  • Develop and extend design patterns, processes, standards, frameworks and reusable components for various data engineering functions/areas.
  • Collaborate with key stakeholders including business team, engineering leads, architects, BSA's & program managers.

 

Requirements and Qualifications :

  • MS/BS in Computer Science / related technical field with 4 years of strong hands-on experience in enterprise data warehousing / big data implementations & complex data solutions and frameworks Strong SQL, ETL, scripting and or programming skills with a preference towards Python, Java, Scala, shell scripting
  • Demonstrated ability to clearly form and communicate ideas to both technical and non-technical audiences.
  • Strong problem-solving skills with an ability to isolate, deconstruct and resolve complex data / engineering challenges
  • Results driven with attention to detail, strong sense of ownership, and a commitment to up-leveling the broader IDS engineering team through mentoring, innovation and thought leadership

 

Desired skils :

  • Familiarity with streaming applications Experience in development methodologies like Agile / Scrum Strong Experience with Hadoop ETL/ Data Ingestion: Sqoop, Flume, Hive, Spark, Hbase
  • Strong experience on SQL and PLSQL
  • Nice to have experience in Real Time Data Ingestion using Kafka, Storm, Spark or Complex Event Processing Experience in Hadoop Data Consumption and Other Components: Hive, Hue HBase, , Spark, Pig, Impala, Presto
  • Experience monitoring, troubleshooting and tuning services and applications and operational expertise such as good troubleshooting skills, understanding of systems capacity, bottlenecks, and basics of memory, CPU, OS, storage, and networks.
  • Experience in Design & Development of API framework using Python/Java is a Plu Experience in developing BI Dash boards and Reports is a plus.

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