Lead Data Engineer

We are looking for engineers with experience in the fintech area. This can be a year or two at a fintech startup right through to an expert in this domain. You might have a background as ‘ back end ’ or ‘data’ engineer , either way we are looking for smart engineers who can be super agile, move fast and have an eye for detail. We’d love to hear from you if you are skilled in any of the technologies we work with and excited at building new fintech technology.

In this Role, you will get to

• Lead the team technically in improving scalability, stability, accuracy, speed and efficiency of our existing Data systems
• Build, administer and scale data processing pipelines
• Be comfortable navigating the following technology stack: Scala, Spark, java, Golang, Python3, scripting (Bash/Python), Hadoop, SQL, S3 etc
• Improve scalability, stability, accuracy, speed and efficiency of our existing data systems
• Design, build, test and deploy new libraries, frameworks or full systems for our core systems while keeping to the highest standards of testing and code quality
• Work with experienced engineers and product owners to identify and build tools to automate many large-scale data management / analysis tasks
  

What You’ll Need To Succeed

• Bachelor’s degree in Computer Science /Information Systems/Engineering/related field
• 5+ years of experience in Data engineering
• Good experience in Apache Spark
• Expert level understanding of JVM and either Java or Scala
• Experience debugging and reasoning about production issues is desirable
• A good understanding of data architecture principles preferred
• Any other experience with Big Data technologies / tools
• SQL experience
• Analytical problem-solving capabilities & experience
• Systems administration skills in Linux