Position Details
About this role
This role focuses on designing and deploying big data and AI solutions for enterprise clients, with a strong emphasis on cloud integration and open-source technologies.
Key Responsibilities
- Support enterprise data architecture development
- Lead solution design and proof of concepts
- Validate cloud and third-party integrations
- Engage with open-source communities
- Collaborate with sales and technical teams
Technical Overview
The technical scope includes distributed data systems like Spark, Hadoop, Kafka, and cloud platforms such as AWS, Azure, and GCP, supporting data engineering, data science, and ML projects.
Ideal Candidate
The ideal candidate is a mid-level solutions architect with over 5 years of experience in data systems, skilled in Python, SQL, and cloud platforms like AWS, Azure, or GCP. They excel in distributed data architecture and have a strong collaborative mindset.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Less than 5 years of relevant experience, No cloud platform experience, Unwillingness to work remotely, Lack of experience with distributed data systems
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