Related skills
java aws sql python databricksπ Description
- Design, implement, and scale end-to-end data products for analytics
- Transform raw data into actionable insights to drive product strategy
- Leverage AI to build self-serve tools and accelerate data workflows
- Partner with data scientists and engineers to align roadmaps
- Implement systems that guarantee data quality, governance, and availability
π― Requirements
- 5+ years in data engineering or software engineering
- Experience modeling data and building scalable pipelines
- Databricks, AWS S3, Python/Scala/Java, SQL, Spark, Airflow
- Curious about AI tools; eager to learn and apply them
- Collaborate with cross-functional teams to evolve the analytics model
π Benefits
- Mental health, wellness & fitness benefits
- Career coaching & support
- Inclusive family-building benefits
- Long-term savings or retirement plans
- In-office culinary options for dietary preferences
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