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  • Published: November 13, 2022
Job Type
Level of education
High school
Level of Hebrew
Location of job
Tel Aviv/ Ramat Gan
How many relevant years experience do you require for the role:
3 years


Wix’s Data team - over 350 Big Data Engineers, Data Engineers, Business Analysts and Data Scientists who believe in using analytics to understand and improve how users interact with our products. With 220+ million users, we collect over 30 billion events a day – that’s 30TB of data added daily! We use cutting edge technologies to process, store and query our data, with tools we develop ourselves as well as technologies like Hadoop and Presto.

You are:

An independent, self-learner who is passionate about data, understands business processes and can translate business needs into data models. You're detail-oriented with a track record of success in quantitative fields. You can write complex SQL queries, have advanced programming skills (preferably in Python) and have experience in big data technologies, Spark, Google or AWS Cloud Development Data Solutions. In this role, you will build/manage big data pipelines.

Minimum Qualification:

- 3+ years of experience working as a BI Developer or Data Engineer including ETL design, implementation, and maintenance.
- 3+ years of experience with dimensional data modeling and data warehouse implementation.
- Excellent communication skills and ability to work in a multi-disciplinary data team environment

As a Data Engineer, you will:

- Be responsible for designing, implementing, and maintaining data pipelines from different sources

- Design, implement and support robust, scalable solutions to enhance business analysis capabilities, identify gaps, and design processes to fill them

- Work with analysts and product managers to understand business priorities and translate requirements into data models

- Collaborate with various stakeholders across the company like data developers, analysts, data science, finance, etc., in order to deliver team tasks

- Collaborate with a broad forum of experts and stakeholders, including architects and engineers, to create high-quality deliverables

- Own the data development process end-to-end including business understanding, methodology, QA and maintenance.

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