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Data Engineer


The Data Engineer will be responsible for all the data processing and Data Infrastructure of the company. Working in a diverse and challenging environment providing data solutions. He will be a lead partner in implementing and maintaining new data tools.


Reporting to Head of Data, the duties of the Data Engineer include:

  • Oversee the data engineering efforts in the company
  • Design and maintain schemas and data structures
  • Develop data integration processes, pipelines and ETLs
  • Tune and Optimize data pipeline, using native monitoring and troubleshooting tools
  • Troubleshoot data issues, validate result sets, and provide ad-hoc reports and analysis on time and with high quality.
  • Build infrastructure for automatic reporting tools for relevant teams and stakeholders
  • Effectively collaborate with other teams across the organization
  • Manage multiple projects at a time in a fast-paced, results-oriented environment.


  • Passionate about data with strong analytical as well as technical skills!
  • 2+ years’ experience as a Data Engineer (preferably in a cross discipline background, as a single Data Engineer in a startup company)
  • Experienced in working with large DWH or Data lake solutions and developing ETL processes – Hands on experience – a must
  • Advanced SQL knowledge and experience working with relational and non-relational data sources, schema design, data-modeling and excellent SQL troubleshooting skills working with large datasets (Postgresql, Snowflake, SQL Server, S3, Redshift and others)
  • Strong background in ETL development, data-modeling, metadata management, and data quality
  • Experience working with Linux
  • Experienced in message queue (e.g. Kinesis/ Kafka/ SQS/ RabbitMQ)
  • Fluent in at least one scripting language (e.g. bash, Python)
  • Familiar with the AWS cloud platform
  • Familiar with Snowflake DWH – an advantage
  • Familiar with Elasticsearch (not only in the ELK framework) – an advantage
  • Working with NoSQL databases, (e.g. key-value stores- redis) – an advantage
  • Internally motivated, able to work proficiently both independently and in a team environment
  • College or University degree in Engineering/ Computer Science or a related discipline, or equivalent experience in other frameworks (e.g. same position in 8200)

Streamlined, sleek, and incredibly fast, FUSE is your all-in-one solution to selling cars in-store and online in 30 minutes or less.


Copyright 2022 FUSE Autotech, All rights reserved.

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Copyright 2022 FUSE Autotech, All rights reserved.