Data Engineering is unique at Coursera. Our team doesn’t simply build reports on demand; rather, we build the semantic infrastructure and products that empower our internal and external customers with the data to innovate and perform their jobs better.
We’re looking for a talented and driven data engineer with a keen eye for data. In this role, you’ll directly work with cross-functional teams to design, develop, and deploy partner data solutions. Our ideal candidate is an independent, analytically-minded individual with strong data modeling and software engineering skills, who shares our passion for education.
Your responsibilities
- Architect scalable data models and build efficient and reliable ETL pipelines to bring the data into our core data lake
- Design, build, and launch visualization and self-serve analytics products that empower our internal and external customers with flexible insights
- Build data expertise, and partner with data scientists and product engineers to define and standardize business rules and maintain high-fidelity data
- Define and partner with other engineers in the development of new tools to enable our customers to understand and access data more efficiently
- Work cross-functionally (eg: product managers, engineers, business teams) to support new product and feature launches
Your skills:
- Strong software engineering skills and at least one scripting language (e.g., Python)
- Proficient with relational databases and SQL
- Familiarity and experience with big data technologies (eg: Hive, Spark, Presto) preferred
- Ability to communicate technical concepts clearly and concisely
- Independence and passion for innovation and learning new technologies
Nice to have:
- Hands-on experience with AWS, Databricks, Delta Lake, Airflow, DBT, Redshift
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