Who we are:
Resident is an industry-leader in the Direct-to-Consumer (e-commerce) space. While our customers are primarily based in the US, our R&D, Product and Data teams have been operating out of Tel Aviv since our founding. Our mission is simple, we are building a best in class ecommerce platform that leverages data and technology to create a competitive advantage for our brands. Starting from the marketing acquisition funnel and continuing through each customer’s journey, our tools and technology enable us to go the extra step to deliver a world class customer experience.
Our company is built around continuously improving our ability to introduce new customers to our products, and wow them with exceptional experiences through the shopping and post purchase journey. We love to use data and metrics to drive our decisions, while keeping in mind that customers don’t speak in numbers, and that each one should be treated as a member of our family.
Oh, and by the way - you’ll get to work with a diverse group of experts around the globe. You can expect a hard working team of people that understands how to create meaningful connections and get great work done virtually - it’s in our nature!
What we do:
We shape the business decision making process by providing the business units with the data as well as the insights about the risks and potential of their initiatives. We make sure to capture the opportunities that require strong data foundations, and we invest heavily on unlocking opportunities that require advanced data modeling.
What You’ll Be Doing:
We are looking for a brilliant, quick-learner Data Engineer for our data engineering team - an independent logical thinker who understands the importance of data structuring for macro-business decisions.
The position combines high technical skills with business orientation, working closely with the analysts and the R&D team, and affecting the company's cross-departments decisions directly. Our Data Engineer should have the ability to speak in technical and practical terms, and more importantly, lead from one to the other, while dealing with challenges and creating them - to make our team even better than it is.
Roles and Responsibilities:
- Creating and structuring end-to-end data pipelines & ETLs: from the source all the way to the analysts hands, enabling them the ideal conditions to make smart and data driven business decisions.
- Cracking top industry data challenges while initiating and building creative technical solutions - in house Device Graph, Server-to-Server to multiple systems, Privacy challenges, Online-to-Offline and more.
- Deep understanding of the business needs, technical requirements and the company’s roadmap - and translating it into custom made data solutions and scalable products.
- Craft code following best practices to ensure efficiency, while integrating CI/CD principles.
- Writing multi-step scalable processes from more than 50 data sources - Marketing. Operations, CS, Product, CRM and more... tying them up to a valuable & useful source of insights for the analysts.
- Understanding data challenges and weaknesses, and managing high standards monitoring and reliability processes.
Requirements:
- B.A / B.Sc degree in a highly quantitative field - a must.
- 4-5 years hands on experience as a Data Engineer querying data warehouses (SQL), structuring data processes using quantitative techniques - a must.
- Fast learner with high attention to details, and proven ability to multitask on several projects at a time. - a must.
- Practical experience in Python and Infrastructure in data context. a must.
- High analytical skills and the ability to deep dive into details. a must.
- Google Cloud Data tools (BigQuery, Cloud Composer/Airflow) - a must.
- AutoML, DataFlow, Neo4J - a plus.
- Practical experience with distributed data processing like Spark - a plus.
- Experienced in analyzing data, and gaining insights - a plus.
- Experience working for a data driven company on a large scale - a plus.
