What you’ll be doing primarily:

📍Playing a key role in projects from a data engineering perspective, working with our team of engineers and stakeholders to model the data landscape, obtain data extracts and define secure data exchange approaches. 📍Collaborating with business analysts and data scientists to map data fields to hypotheses and curate, wrangle, and prepare data for use in advanced analytical models. 📍Planning and implementing good practices for data integration. 📍Designing, enhancing, implementing, and monitoring ELT/ETL data pipelines. 📍Automating processes for gathering and exposing internal data to stakeholders. 📍Creating and managing data environments and systems in the Cloud (AWS). 📍Ensuring the scalability of the company’s data stack according to its changing needs and growth. 📍Guaranteeing data quality both on live systems as well as offline datasets.

Required qualifications:

📍Degree, preferred in engineering, computer science, or information systems. 📍Background in a data engineering role addressing complex architectural problems with intuitive but straightforward designs that promote composable systems and maintainable code. 📍Strong experience with large-scale data engineering, namely extracting, transforming, and loading data with a focus on analytics and reporting. 📍Experience working with a data warehouse / data lake environment and leveraging data within distributed systems in a cloud-based environment. 📍Strong knowledge, understanding, and experience modeling data on relational and non-relational databases. 📍Strong knowledge of SQL and Python. 📍Experienced with cloud providers such as AWS or GCP. 📍Experienced with containerized solutions using Docker and/or Kubernetes. 📍Familiarity with methodologies/best practices such as the GitHub Flow, Test Driven Development, Code Coverage, Continuous Testing & Integration. 📍Good analytical, programming, debugging, problem-solving, and critical thinking skills. 📍Creativity, curiosity, and a growth mindset. Team player with an ability to work with cross-functional teams. 📍Excellent communication skills, both orally and written. 📍Fluent written and oral English skills.