Data Engineer tags.new

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 e-commerce 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 who understand 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 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 in 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 a business orientation. It involves working closely with the analysts and the R&D team and directly affecting the company's cross-department decisions. Our Data Engineer should be able 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.

Roles and Responsibilities:

Creating and structuring end-to-end data pipelines and ETLs in light of business requirements: from the source to the analyst's 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, 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 and 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
3+ years of hands-on experience as a Data Engineer querying data warehouses (SQL), and structuring data processes using quantitative techniques
Fast learner with high attention to detail, and proven ability and passion to multitask on several projects at a time
Strong communication skills and a proven ability to collaborate effectively with different stakeholders on various projects and business/technical goals
Proven experience in Python and Infrastructure in the data context
High analytical skills and the ability to deep dive into details
Google Cloud Data tools (BigQuery, Cloud Composer/Airflow, Pub/Sub, Cloud Functions) or parallel tools on AWS
Experience in designing and building scalable data systems for various data applications - an advantage
Experience in analyzing data and deriving actionable insights - an advantage
Experience working for a data-driven company in a large-scale environment - an advantage