Step into a pivotal role as a Data Pipeline Engineer at Dropbox. Design and manage the data models that power analytics across the company. As part of the Analytics Data Engineering team, your primary focus will be to build and maintain effective data pipelines that enhance the company’s product understanding. You will work collaboratively with data scientists and product managers to translate data needs into effective solutions.

Your role features hands-on coding and architectural decision-making to ensure the highest standards in data quality. Key Responsibilities:

- Construct and maintain Spark and SparkSQL jobs
- Manage all aspects of data pipelines from requirements to deployment
- Develop data quality testing and lineage tracking
- Collaborate with various teams for durable data models
- Improve and extend existing datamarts for analysis Requirements:
- Minimum 2 years with Spark, Python, Java, C++, or Scala
- Proficiency in SQL, including query tuning skills
- Prior experience in schema design and data modeling
- Background in building production data pipelines
- BS in Computer Science or related technical field Drive data excellence at Dropbox by leveraging your engineering skillset.

📌 Data Pipeline Engineer at Dropbox (Canada)
🏢 RiseMe
📍 Canada