Kafka Engineer

Job Post Information* : Posted Date 2 weeks ago(2/2/2018 2:46 PM)
ID
2018-7934
# of Positions
1
Work Location (City/State)
Franklin Lakes, NJ or Bloomington, MN

Who We Are

GalaxE.Solutions

Every day, our solutions affect people throughout the world. From Fortune 100 companies to start-ups, GalaxE develops and implements strategic projects that are critical to the success of customers’ businesses and the lives of tens of millions of people.

 

For over twenty-five years, we have grown and evolved into a multi-national firm that employs over 2000 team members worldwide. But we’re not done evolving. It took collaboration and innovation to get here, and it takes collaboration and innovation to get where we (and our customers) want to be tomorrow.  

 

What does this mean for our employees? They have the security of an established company, with the benefits of working for a company where great minds, hard work, leadership and innovation are highly regarded and rewarded.

 

As Thomas Edison said, “There’s a way to do it better – find it”. We want our employees to find it.

 

We’re looking for creative people, with an entrepreneurial spirit, looking to work on awesome projects! Sound like you? Come work with us! Find out for yourself what it means to be part of the GalaxE team.

 

It’s not always easy, but important work never is. #WeAreGalaxE

 

Equal Opportunity Employer/Veterans/Disabled

What You Will Do

  • Solid experience and knowledge in the deployment of Kafka(Apache/Confluent).
  • Physical Deployment across multiple environments
  • Optimization and Tuning based on performance metrics
  • Setup best practices, Standards, Patterns Development and automate process for onboarding.
  • Developed playbooks for troubleshooting and support teams
  • Designed monitoring solutions and baseline statistics reporting to support the implementation

Skills and Experience You Will Need

  • Individual needs strong Java, SPARK and KAFKA experience.
  • Experience with medium-to-large data pipelines: implementing, testing and deploying
  • Experience with stream processing using Kafka
  • Experience with automated unit and integration testing
  • Experience with Kafka Connect.
  • Champion good engineering practices and help teams to define and setup frameworks for “Big Data As A Service”.
  • Technology strategy and engineering roadmaps around Big Data and
  • Execute strategic engineering proof of concepts.
  • Develop monitoring strategies for infrastructure, platforms and applications aligning with enterprise strategy and overall industry trends.
  • Big Data Technologies such as Hadoop, Spark, Kafka, etc.
  • Hadoop: 3 years
  • Kafka: 2+ years
  • Spark: 2 years

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