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aws sql python databricks scala📋 Description
- Lead enhancement of internal processes to scale infra and automate ops.
- Design and implement ETL infrastructure with AWS and SQL.
- Build analytical tools tapping the data pipeline for key metrics.
- Architect and manage large, complex data sets.
- Collaborate with exec/product/data/design teams; advise on data issues.
- Impact EarnIn community members.
- Mentor senior engineers; review code, design, architecture.
- Define tech direction; roadmap; escalate issues; synthesize feedback.
- Estimate and manage team timelines and risks.
- Hire and onboard new team members.
- Lead cross-team engineering initiatives.
- Continuously learn new data engineering technologies.
🎯 Requirements
- 4+ years designing and maintaining data infrastructure; lead projects.
- BS/MS/PhD in CS/CE or related field, or equivalent experience.
- Proficiency in Python and Scala.
- Strong knowledge of Hadoop and Spark; cloud AWS/Azure/GCP.
- Experience with Databricks.
- SQL and NoSQL DB design; large dataset optimization.
- Git and Terraform; CI/CD practices.
- Kafka in cloud environments; data governance and security basics.
🎁 Benefits
- Healthcare coverage
- Internet and cell phone reimbursement
- Learning and development stipend
- Possible travel to Palo Alto HQ
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