Data Engineer
Yotpo is leading the next era of trust and loyalty in eCommerce. With AI-powered Reviews and Loyalty solutions, we help brands turn browsers into customers and customers into advocates. Through deep integrations across the eCommerce ecosystem and the trust of over 30,000 global brands, Yotpo delivers seamless omnichannel experiences that increase conversion, strengthen customer relationships, and drive profitable, long-term growth.
Now, let's talk about you. Are you a talented and experienced Data Engineer? If so, we want you to be part of our dynamic Data Engineering Team, a part of the R&D, contributing to our vision and making a difference in the eCommerce landscape. Join us on this journey as we seek the best and brightest minds to drive our mission forward.
- Developing, implementing and supporting robust, scalable solutions to improve business analysis capabilities
- Managing data pipelines from multiple sources, including designing, implementing, and maintaining
- Translating business priorities into data models by working with business analysts and product analysts
- Collaborate across the business with various stakeholders, such as data developers, systems analysts, data scientists and software engineers
- Owning the entire data development process, including business knowledge, methodology, quality assurance, and maintenance
- Work independently while considering all functional and non-functional aspects and provide high quality and robust infrastructures to the organization
What you need:
- Bachelor's degree in Computer Science, Industrial engineering, Maths, or other numerate/analytical degree equivalent
- 3+ years of experience working as a BI Developer / Data Engineer or a similar role
- Advanced proficiency and deep understanding of SQL
- Skills in data modeling, business logic processes, as well as experience with DWH design
- An enthusiastic, fast-learning, team-player, motivated individual who loves data
Advantage
- Experience working with DBT (big advantage)
- Knowledge in BI tools such as Looker, Tableau or Superset
- Experience with Python
- Experience working with DWH, such as BigQuery/Snowflake/Redshift
- Experience working with Spark, Kubernetes, Docker.
What we offer:
- Track to success – work in a dynamic organization with ambient and laid-back office atmosphere
- Individualized career development, rewards and recognition.
- Work-life balance – 25 days paid vacation with add-ons for loyalty, regular team buildings and celebrations in and outside the country
- Additional health insurance package
- Internal mobility program and refer-a-friend program
- Managing a fixed monthly budget for social benefits thru Re:Benefit – a flexible online benefits solution
- Food vouchers – monthly
- E-learning portals and knowledge sharing sessions.
- Company backed Hackathons, Tech conferences, workshops events, etc
- Stocked kitchen and bar.
- Equity in options.
- Hybrid working
#LI-Hybrid
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Perks and Benefits
Health and Wellness
Parental Benefits
Work Flexibility
Office Life and Perks
Vacation and Time Off
Financial and Retirement
Professional Development
Diversity and Inclusion