Senior Data Science Engineer

Location Remote, Worldwide
Job Type Permanent
Salary Competitive 'All in One' Salary
Reference 29903

Our client is a global fintech start-up with an objective to create a globally safe way to use money.
A totally distributed team, meaning this vacancy is 100% remote. Their team has talent from more than 40 countries from all over the globe.

They are seeking a Senior Data Science Engineer.


You will be responsible for ...

  • 6+ years’ experience working with Data, Data Engineering, Data Science or similar.
  • Translate complex business needs into scalable solutions.
  • Design and create data structures on MPP platforms like Google BigQuery, AWS RedShift,
  • Design and create easily scalable data pipelines using AWS tools - Glue (Spark based), Data Pipeline, Lambda etc...
  • Team collaboration on building dashboards with tools like Apache Superset, Google Data Studio, Tableau and data analysis.
  • Working with multiple distributed teams to offer solutions that have a large impact on the business.


Position's requirements ...

  • Thorough understanding of data structures and their algorithms.
  • Experience in creation, design and building dimensional data models to better accessibility, efficiency, and the overall quality of our data.
  • Experience in ETL data pipelines and their designing and development.
  • Competence and capability in writing Advanced SQLs,
  • Skilled in performance tuning of SQLs.
  • Experience in building high-quality software with Python or Scala being the the preferred languages.
  • Strong analysis and communication capabilities.


Bonus skill set would include ...

  • Work/project experience with big data and advanced programming languages.
  • Experience using Java, Spark, Hive, Oozie, Kafka, NiFi and Map Reduce.
  • Work experience with AWS tools to process data (DMS, Glue, Pipeline, Kinesis, Lambda, etc).
  • Work experience with Google Cloud tools to store and visualize data (BigQuery, Data Studio). 
  • Experience with or advanced courses on data science and machine learning.


Additional and important requirements ...

  • A comfortable and accessible workspace. 
  • A reliable and strong internet connection with the quickest speed possible in your area and vicinity.
  • Reliable devices and other essential equipment that meet technical specifications to allow you to complete your work.
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