Data Engineer

Finance · Tel Aviv, Israel
Department Finance
Employment Type Full-Time
Minimum Experience Mid-level

About Celsius Network


Celsius addresses the financial needs of today’s consumers worldwide through a democratized interest income and lending platform accessible via a mobile app. With a mission to put unparalleled economic freedom in the hands of the people, and a core belief that financial services should only do what is in the best interests of the community, Celsius is a modern platform where membership provides access to curated financial services that are not available through traditional financial institutions. Crypto holders can earn high-yield compounding interest by transferring coins to their Celsius Wallet and can borrow fiat currency against their crypto collateral at the lowest interest rates in the space.  


The Celsius team is committed to doing good and doing well. We believe in the power of disruption and the importance of decentralization to create a new system that acts in the best interest of everyone. Each member of our team brings something unique and innovative to the table, but the common thread that links us together is our passion for blockchain, equality, and leading the next financial revolution that changes the equation to bring power back to the people. 


Position: Data Engineer


Celsius is looking for a savvy Data Engineer to join our growing team of analytics experts. The role will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up.


Responsibilities:

  • Create and maintain optimal data pipeline architecture,
  • Assemble large, complex data sets that meet functional / non-functional business requirements.
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, reports, etc.
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies and integration ofsystems.
  • Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
  • Work with stakeholders including to assist with data-related technical issues and support their data infrastructure needs.
  • Keep our data separated and secure.



Requirements:


  • Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
  • Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
  • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
  • Strong analytic skills related to working with unstructured datasets.
  • Build processes supporting data transformation, data structures, metadata, dependency and workload management.
  • A successful history of manipulating, processing and extracting value from large, disconnected datasets.
  • Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
  • Strong project management and organizational skills.
  • Experience supporting and working with cross-functional teams in a dynamic environment.


Celsius is currently operating fully remotely while navigating COVID-19 guidelines, however, Celsius has offices in Hoboken, New York City, London and Tel Aviv and employs remote employees based in cities all around the world.

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  • Location
    Tel Aviv, Israel
  • Department
    Finance
  • Employment Type
    Full-Time
  • Minimum Experience
    Mid-level