Position Details
About this role
This role involves designing and implementing big data solutions, working with cloud platforms and Apache Spark to deliver scalable data architectures for clients.
Key Responsibilities
- Design data architectures
- Implement data projects
- Work with cloud platforms
- Support client data needs
- Ensure project delivery
Technical Overview
The technical environment includes cloud ecosystems (AWS, Azure, GCP), Apache Spark, data engineering, MLOps, and end-to-end data architecture design.
Ideal Candidate
The ideal candidate is a mid-level data solutions architect with at least 6 years of experience in data engineering, proficient in Python or Scala, with strong knowledge of cloud platforms like AWS, Azure, or GCP, and hands-on experience with Apache Spark and distributed systems.
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
Less than 6 years of experience, Lack of experience with Apache Spark, No cloud platform knowledge, No experience with data engineering or data science
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