Data engineer



  • Design and build data structures on MPP platform like AWS RedShift and or

  • Design and build highly scalable data pipelines using AWS tools like Glue (Spark based), Data Pipeline, Lambda.

  • Translate complex business requirements into scalable technical solutions.

  • Strong understanding of analytics needs

  • Collaborate with the team on building dashboards, using Self-Service tools like Apache Superset or Tableau, and data analysis to support business

  • Collaborate with multiple cross-functional teams and work on solutions which have a large impact on Xapo's business.


  • In-depth understanding of data structures and algorithms

  • Experience in designing and building dimensional data models to improve accessibility, efficiency, and quality of data

  • Experience in designing and developing ETL data pipelines.

  • Should be proficient in writing Advanced SQLs, Expertise in performance tuning of SQLs

  • Programming experience in building high quality software. Skills with Python or Scala preferred

  • Strong analytical and communication skills

  • Work/project experience with big data and advanced programming languages is a plus. Experience using java, Spark, Hive, oozie, Kafka, and Map Reduce is a huge plus!

  • Work experience with AWS tools to process data (Glue, Pipeline, Kinesis, Lambda, etc) is a plus

  • Experience with or advanced courses on data science and machine learning is a plus

  • Bachelor’s Degree in computer science or a related field

  • Fluent in English

  • Speak a second language, ideally but not a requirement.