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sql python databricks scala sparkπ Description
- Core engineer in Ripple Data Engineering; manage ingestion and transforms for analytics.
- Drive cost and performance improvements in data pipelines.
- Collaborate across data science, product, compliance, and finance.
- Own development and rollout for small to mid-sized projects.
- Write tech specs and assess risks; outline architectures and timelines.
- Lead features with 1-2 collaborators across sprints.
π― Requirements
- Proficient (3-6 yrs) in Python or Scala and SQL.
- Experience with data warehouses or data lakes; Databricks.
- Write sophisticated code and learn new technologies independently.
- Familiar with Spark or Flink and scalable data pipelines.
- RESTful APIs and server-side API integration.
- AWS (S3, Lambda, API Gateway, Kinesis, Athena).
π Benefits
- Competitive salary, bonuses, and equity
- Benefits covering health, retirement, and family support
- Employee giving match
- Mobile phone stipend
- Wellness reimbursements and weekly onsite/virtual programs
- Generous vacation and parental leave policies
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