Data Engineer
hace 4 semanas
We are a leading shopping rewards and recommendation company in Europe, dedicated to creating rewarding moments for consumers and empowering them to make informed shopping decisions.
Our mission is to provide users with the best savings, cashback, deals, shopping inspiration, and trustworthy reviews from real users.
We have a diverse team of over 1000 talented colleagues from 70 nationalities, spanning 10 countries, and working on projects with an international footprint.
We are looking for a Data Engineer to join our team and help integrate the different brands in Global Savings Group.
The Data Domain is part of our Product and Technology team, consisting of 30 people on 4 different teams operating in an agile and customer-centered environment.
We need a new Data Engineer to design, develop, and maintain data solutions to manage and convert multiple data sources into actionable intelligence.
The new Data Engineer will work with data from the frontend and backend of dozens of websites, fetch financial data from hundreds of partners, and create efficient marketing funnels.
Responsibilities:
Develop performant data models and transform large, complex, and disparate datasets into the basis for explorable, understandable, and accurate data products.
Manage ETL/ELT Processes, Data Flows, and Data Engineering Solutions using AWS services such as S3, EMR, EC2, Glue, Kinesis, Athena, Lambda functions, etc.
Write scalable, efficient, and thoroughly tested code to ensure Quality, Reliability, and Accuracy of Data Products.
Your Profile:
You are familiar with ETL/ELT development, data flows, and processing data at scale.
You have familiarity implementing services and solutions in the realm of Big Data, Analytics, or Data Engineering, with proficiency in Cloud Platforms.
You bring strong experience with Python, Scala, and/or Java, and are knowledgeable about relational and non-relational databases and advanced query authoring (SQL and NoSQL).
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