Position Details
About this role
This role involves developing AI-driven data platforms and pipelines to support machine learning initiatives, leveraging AWS cloud services, and working across data engineering, science, and business teams.
Key Responsibilities
- Build and maintain data pipelines
- Design AI-powered datasets
- Collaborate with stakeholders
- Implement AI infrastructure
- Ensure data security and governance
Technical Overview
Technical scope includes building scalable data pipelines, implementing AI/ML solutions, utilizing AWS services, and developing AI-native platforms with a focus on data quality, governance, and automation.
Ideal Candidate
The ideal candidate is a mid-level data engineer with 5+ years of experience in data engineering, strong expertise in SQL and Python, and hands-on experience with AI and ML initiatives on AWS. They should be skilled in building scalable data pipelines and implementing AI-powered data solutions.
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 data engineering experience, No experience with AWS, Lack of SQL or Python skills, No experience with AI/ML initiatives
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