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less than a minute ago
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Full time
Salary
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Related skills

sql python databricks scala spark

πŸ“‹ 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.

🎯 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).

🎁 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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