Position Details
About this role
This role involves designing and implementing distributed data solutions, supporting ML workflows, and collaborating with stakeholders on strategic data projects across cloud platforms.
Key Responsibilities
- Build distributed data systems
- Develop proofs of concept
- Support data science workflows
- Collaborate on cloud integrations
- Conduct live coding sessions
Technical Overview
The technical environment includes cloud data warehouses, big data tools like Spark, Hadoop, Kafka, and ML frameworks, with a focus on cloud platform integrations.
Ideal Candidate
The ideal candidate is a senior solutions architect with at least 5 years in data engineering and data science, experienced with cloud platforms and big data tools like Spark and Hadoop, and capable of conducting live coding sessions with stakeholders.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Certifications
Preferred
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience with cloud data platforms, No experience with Spark, Hadoop, or Kafka, Insufficient programming skills in Python, R, Scala, or Java
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