Job opportunity: Senior Data Engineer Skip To Content

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Senior Data Engineer

Tel Aviv · Full-time · Senior

About The Position

About the Position

Fireblocks is a fast-growing VC-backed startup focused on securing and transferring digital assets across public and private blockchains. Fireblocks is one of the most well-funded and fastest-growing start-ups in the crypto and blockchain space. We’re on a mission to enable every business worldwide to securely and efficiently support digital assets and cryptocurrencies.

 

The Data Analytics team’s mission is to empower Fireblocks with data through analysis, operational insights, strategic initiatives, and decision-making. We are looking for an experienced data engineer to join a newly formed Data Analytics team. As a Data Engineer, you will be responsible for ELT data ingestion processes while building our Cloud Data Lakehouse. You will be the owner of all functions related to our data warehouse: architecture, generation, storage, maintenance, preparation, enrichment, and cleansing. Your work will impact our business's success and growth. 

 

To do well in this role, you must be technical and up-to-date with modern technology to automate manual data collection processes. You should have strong analytical skills and the ability to combine data from different sources using machine learning methods and several programming languages.

 Responsibilities:

  • Responsible for the architecture and implementation of new technologies and data infrastructures
  • Technical design, implementation, optimization, monitoring, and governance of the ELT, data pipelines, and data lakehouse
  • Interpret trends and patterns
  • Prepare data for prescriptive and predictive modeling
  • Build algorithms and prototypes
  • Explore ways to enhance data quality and reliability
  • Work closely with data analysts to effectively model and build our data lakehouse
  • Partner with security, DevOps, engineering, and data scientists to unlock the power of leveraging data across Fireblocks 
  • Develop and maintain the master data layer
  • Adopting industry-leading technologies to support best-in-class business capabilities for high-performance computing and data storage solutions

Requirements

Minimum Requirements:

  • 5+ years of experience in data engineering and ETL/ELT development in a DWH environment
  • 2+ years as a data architect
  • Proficiency in SQL, Python
  • Strong skills in data modeling
  • Excellent understanding of DWH architecture and methodology
  • Strong analytical skills
  • Experience with troubleshooting and solving problems
  • Worked in an agile environment
  • Works well independently and as part of a team
  • Excellent communication skills with fluent English
  • Works well under pressure
  • Bachelor’s degree in Industrial engineering, Information Systems, Computer Science, and equivalent degree

 

Advantage:

  • Data engineering certification is a plus
  • Additional programming languages, such as R, Scala, Java
  • Experience working with data visualization tools
  • Experience with AWS, Snowflake, and MySQL
  • Worked in a global company
  • Worked as a team leader

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