Data Engineer

11 hours ago

Israel Sharpies Full time ₪60,000 - ₪120,000 per year
Data Engineer
  • R&D
  •  Tel Aviv
  • Full-time
DESCRIPTION

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

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
  • Create ELT/Streaming processes 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 like data developers, data science, etc, in order to deliver team tasks. 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 approach
REQUIREMENTS
  • 4+ years of experience as a Data Engineer with direct experience in SQL (e.g., Redshift/Postgres/MySQL), data modeling, data warehousing, and building ELT/ETL pipelines
  • 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
  • Experience working with cloud environments (AWS preferred) and big data technologies (EMR, EC2, S3, Snowflake, Spark, Hive, Airflow) 
  • Love to explore new technologies and 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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