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Data Engineer with Kafka / Big Data Engineer / Had


Job ID : 14999

Job Title : Data Engineer With Kafka / Big Data Engineer / Had

Location : Dallas, Texas

Company Name : Photon Infotech

Industry : Information Technology

Salary : $64,000 - $91,000  per year

Job Type : Fulltime

Posted on: 2020-07-28


Required Skills : Data Streaming, Kafka, Confluent, Spring, Spring Boot

Benefits : No benefits are available


Roles & Responsibilities:

  • Design, develop and manage automated unit, integration and acceptance tests for all UI components
  • Work with the Business Analysts and Customers throughout the requirements process to properly understand the long term goals of the program
  • Communicate new technologies, best practices related to Kafka Streaming to the organization
  • Support continuous improvement by investigating alternatives and technologies and presenting these for architectural review
  • Development and support of Kafka integrations, including topics, producers, consumers, and streaming (KStream and KTable) applications
  • Development and support of Confluent connect, confluent KSQL, and a confluent Schema registry
  • Work with technical specialists (Security Team, Performance Engineer, etc.) to ensure that all parties understand the system that is being designed and built and that all major issues are understood and mitigated
  • Expected to participate in several implementation phases of the product development cycle and design, scoping, planning, developing, implementation and test

Qualifications:

  • 6 years of Data Streaming and Analytics experience with an undergraduate degree in Computer Science or Information Technology Experience with streaming in general (e.g.spark streaming) and Kafka, Confluent in particular
  • Experience with Data Streaming Standards and Design Patterns as well as use-cases
  • Working knowledge of Spring, Spring Boot, Spring Cloud, and ability to design cloud-native applications
  • Operational management of the Kafka platform
  • Experience with Agile methodologies, development approaches, and tools (e.g. JIRA)

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