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Finout-Data Engineer

  • Finout
  • Tel Aviv, Israel
  • Full-time
About The Position

Finout is the first cost observability platform that places business in its center, helping companies understand how each dollar they spend on their COGS and R&D is attributed, allowing them to slice their cost in different perspectives such as cost per customer, cost per unit economics, cost per feature, etc. 

Finout is looking for a Data Engineer to join its core team! Data is at the heart of the Finout solution.

In this position, you will have the ability to translate business needs into flawless data flow, working closely with the founders, the product designer, and the other R&D teams. We need you to bring your data driven approach, design architecture and support data workflow at a large scale.

RESPONSIBILITIES

  • Own, maintain and improve the data lake pipeline in a big data environment
  • Create ELT and SQL queries to bring data to/from the data warehouse and other data sources
  • Create new features from scratch, enhance existing features, and optimize existing functionality
  • Collaborate with various stakeholders across the company
  • Work closely with all business units and engineering teams to develop a strategy for long-term data platform architecture
  • Ensure adherence to coding best practices and development of reusable code
  • Face the challenges of testing and constant monitoring your large scale data pipeline while maintaining CI/CD infrastructure
Requirements:
  • 5+ years of Experience working with cloud environments (AWS preferred) and big data technologies (EMR, EC2, S3, Snowflake, Spark, Hive, Airflow) 
  • 3+ years of experience in scalable data architecture, fault-tolerant ETL, and monitoring of data quality in the cloud
  • 2+ years of Python development experience
  • 5+ years of experience as a Data Engineer with direct experience in SQL, data modeling, data warehousing, and building ELT/ETL pipelines
  • Love to explore new technologies, fast and self-learner: you can quickly master concepts, disciplines and methods
  • BS or MS degree in Computer Science or a related technical field – An advantage
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