You will lead the implementation of cloud Data & Analytics services while maintaining on-premise offerings. You own the release of analytical pipelines for Cloudera and Azure, building helper libraries to improve platform usability for data science users.
Responsibilities
- Build and productize analytical pipelines for Cloudera (on-prem) and Azure (cloud).
- Develop helper libraries and capabilities to enhance usability for data science users.
- Lead delivery of pipelines that ingest, store, and analyze data to ensure accessibility.
- Support business users with scoping, onboarding, and delivering use cases.
- Test new analytical cloud services and collaborate with technology teams to resolve user pain points.
Required Skills
- 4+ years of experience in data science roles.
- Proficiency in Python or R.
- Hands-on experience with Azure Machine Learning and Azure Databricks.
- Experience building and maintaining data, tools, and processes for reproducible analysis.
- Proven ability to lead data science work within a team environment.
- Experience with Apache Spark or Tableau.
- Bachelor's degree in Computer Science.
Preferred Skills
- Ability to communicate technical concepts to stakeholders of varying seniority.
- Experience upskilling business users in analytical standards and data science techniques.