United Consulting Hub is seeking a Data Engineer – AI Platform to design, develop, and optimize scalable data pipelines and AI integration workflows. The role involves collaborating with various teams to implement best practices in data quality and governance while supporting AI/ML model deployment.
Responsibilities:
- Design and maintain scalable data pipelines and AI integration workflows
- Develop ETL/ELT processes and data transformation frameworks
- Build feature pipelines and support AI/ML model deployment
- Optimize data architecture, performance, and security
- Collaborate with Data Scientists, Architects, and Engineering teams
- Implement data quality, validation, and governance best practices
- Create technical documentation and support Agile development processes
Requirements:
- Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related field
- 4–6 years of experience in Data Engineering or Data Integration
- Strong proficiency in Python and SQL
- Experience with ETL/ELT, feature stores, MLOps, and AI data pipelines
- Hands-on experience with AWS, Azure, or GCP
- Knowledge of modern data lakehouse architectures
- Strong analytical, troubleshooting, and communication skills
- Experience with metadata management and data observability
- Familiarity with CI/CD pipelines for AI/ML
- Knowledge of data governance, lineage, and security
- Experience working in Agile environments