Spark Data Engineer- Full Time

Spark Data Engineer- Full Time

24 Sep 2024
New Jersey, Princeton, 08540 Princeton USA

Spark Data Engineer- Full Time

Vacancy expired!

We are growing fast. Be with us and grow with us. We make fast decisions and shift to adapt to the changing market and customers needs. Our people have lots of autonomy and forge their own paths.
We are one of the fastest growing delivery partners for Databricks and looking for to hire Big Data Engineers to join our team. You will have the opportunity to shape the future big data landscape at leading Fortune 500 organizations and cutting-edge startups. You will work on customer engagements to solve big data problems using leading cloud platforms such as AWS/Azure/Google Cloud Platform, Apache Spark and the Databricks platform.

The skills you will bring:
  • Certified and have deep knowledge of one or more popular cloud platforms (AWS, Azure, Google Cloud Platform). Strong abilities to provide a firm point of view on core cloud platform capabilities, security, and best practices
  • Hands-on technical experience, building production grade data pipelines with Apache Spark and/or Databricks
  • Experience building pipelines with CICD capabilities and strong knowledge of Apache Spark and/or Databricks Internals
  • Ability to identify, debug bottlenecks and significantly optimize slow running data pipelines
  • Proficient in Python (preferable) or Scala. Good understanding of design principles in Object Oriented and Functional programming techniques
  • Experience migrating applications from legacy Hadoop or Datawarehouse s to the cloud running Apache Spark or Databricks a huge plus
  • Databricks technical certifications, knowledge of the lake house architecture, highly desirable
  • Other nice to have skills:
  • You will bring very strong consulting skills, are customer focused and know how to navigate through tough project situations
  • You are highly motivated, creative in your approach to technical problems and know how to leverage both internal and external networks
  • You spend a significant amount of time to keep your technical skills updated and are constantly looking for the next big challenge
  • You will bring both broad and deep knowledge in Data Engineering and can architect a solution by mapping a customer business problem to an end-to-end solution.
  • You are resourceful and confident under pressure
  • What we offer:
    • Excellent Compensation, including bonuses
    • Opportunity to work with cutting edge technologies
    • World class team members to work with
    • Excellent work culture with fully remote option
    • Robust Health and Wellness Benefits
    • 401k Plan and Employer matching
    • Referral Program
    • Professional Development Assistance
    • Paid Time Off and Sick Leave
    Are you passionate about this opportunity, but worried that you don t have 100% of the experience we re looking for? We still want to hear from you! Apply online and let us know why you would make a great addition to the Computomic team.

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    Job Details

    • ID
      JC45958821
    • State
    • City
    • Job type
      Permanent
    • Salary
      Depends on Experience
    • Hiring Company
      Computomic
    • Date
      2022-09-02
    • Deadline
      2022-11-01
    • Category

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