Data Engineer

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he Data Engineering (DE) team is a Team that plays a significant role in the ongoing cloud technologies. The ideal candidate is a data engineer with a strong technical background in data infrastructure, data architecture design and robust data pipes building. The candidate must also have collaborative abilities to interact effectively with Product managers, Data scientists, Onboarding engineers, and Support staff.
Responsibilities:
Deploy and maintain critical data pipelines in production.
Drive strategic technological initiatives and long-term plans from initial exploration and POC to going live in a hectic production environment.
Design infrastructural data services, and to build scalable data solutions.
Work in Agile process with Product Managers and other tech teams.
End-to-end responsibility for the development of data crunching and manipulation processes within the product.
Design and implement data pipelines and data marts.
Create data

דרישות:

B.Sc. in Computer Science or equivalent.
3+ years of extensive SQL experience (preferably working in a production environment)
Experience with programming languages (preferably, Python) - a must!
Experience with "Big Data" environments, tools, and data modeling (preferably in a production environment).
Strong capability in schema design and data modeling.
Understanding of micro-services architecture.
Familiarity with Airflow, ETL tools, Snowflake, and MSSQL.
Quick, self-learning and good problem-solving capabilities.
Good communication skills and collaborative.
Process and detailed oriented.
Passion to solve complex data problems.
Desired:
Experience with GCP services.
Experience with Docker and Kubernetes.
Experience with PubSub/Kafka. המשרה מיועדת לנשים ולגברים כאחד.