Life360 is looking to enhance and maintain its data processing and storage pipelines for a robust and secure data lakehouse to support near real-time analytics, ML pipelines, and exploratory data analysis.
Requirements
- Minimum of 5 years of experience working with high volume data infrastructure.
- Deep experience with both Databricks and AWS cloud computing platforms
- Proficient programming in Python.
- Proficiency with SQL and ability to optimize queries.
- Experience with large-scale data processing frameworks.
- Experience working with high volume event based data architecture.
- Experience with data ingestion frameworks.
Responsibilities
- Design, implement, and maintain scalable data processing platforms used for near real-time analytics, ML pipelines, and exploratory data analysis.
- Manage our various types of data from ingestion through ELT to storage and both streaming and batch processing.
- Automate, test and harden all data workflows.
- Architect logical and physical data models to ensure the needs of the business are met.
- Build features for ML models.
- Collaborate with our analytics, data science, and platform teams, while applying data engineering best practices.
- Build robust self-serve capabilities for our data to enable reporting and visualization.
Other
- BS in Computer Science, Software Engineering, Mathematics, or equivalent experience.
- You have good communication skills and can work independently.
- Be a Good Person - We have a team of high integrity people you can trust.
- Be Direct With Respect - We communicate directly, even when it’s hard.
- Members Before Metrics - We focus on building an exceptional experience for families.
- High Intensity, High Impact - We do whatever it takes to get the job done.
- We encourage people of all backgrounds to apply. We believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful.
