Staff Data Engineer

• 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