Engineering

Big Data Engineer III (Remote) (Senior)

Remote   |   A Tempo Pieno

Agile Lab is a top tier data engineering firm, specialized in Spark and many other distributed technologies since 2013. Agile Lab is now employing 60 talented data engineers/scientists in a remote-first culture and with an international mindset.

Give a look at our handbook to discover our core values and processes.


We are looking to hire a talented Big Data Engineer to develop and manage our Big Data solutions. In this role, you will be required to design and implement Big Data tools and frameworks, data-intensive applications, and cloud platforms.
To ensure success as a Big Data Engineer, you should have in-depth knowledge of distributed computing technologies and top problem-solving skills.


Responsibilities:

  • Analyzes, designs, and implements complex systems.
  • Challenges the team processes, looking for ways to improve
  • Mentors junior engineers via pairing, design, and code review.
  • Builds software solutions by adhering to our quality standards about SDLC.
  • Makes active efforts to stay up-to-date with technologies.
  • Leads the technical design of complex systems.
  • Understands and optimizes system performances.
  • Takes the initiative to fix issues before they become a problem.
  • Delivers complex systems, well-baked, and almost bug-free.
  • Proactively Identifies problems with requirements and project plan.


Requirements:

  • Bachelor’s degree in Computer Engineering or Computer Science.
  • Previous experience as a Big Data Engineer (3-5 years)
  • In-depth knowledge of Hadoop, Spark, and similar frameworks.
  • In-depth knowledge of programming languages including Java and Scala.
  • Expert in cloud-native technologies, IaC, and Docker tools.
  • Excellent project management skills.
  • Excellent communication skills.
  • Proactivity
  • Business and functional understanding
  • Team Player
  • Ability to solve complex networking, data, and software issues.
  • Leadership capabilities

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