Amazon Web Services (AWS), Artificial Intelligence (AI), Cloud Architecture, Cloud Computing, Data Analysis, Data Management, Data Quality, Data Science, GCP (Good Clinical Practices), Microsoft Windows Azure, Multiplatform/Cross-Platform, Performance Management, Python Programming/Scripting Language, Regulatory Compliance, Scalable System Development, Software Engineering
Senior Data Engineer – Cloud & AI Platforms
Location: US / Canada (Remote/Hybrid)
Type: Contract / Full-Time
Overview:
We are hiring a Senior Data Engineer to support large-scale data modernization and AI-driven transformation programs. This role focuses on building robust, scalable cloud data platforms and enabling advanced analytics and AI use cases.
Key Responsibilities:
- Architect and develop scalable data pipelines and cloud-native data solutions
- Collaborate with data scientists, analysts, and business stakeholders
- Ensure high performance, data quality, and governance across platforms
Required Skills:
- Strong experience in data engineering and cloud-based architectures
- Hands-on expertise with platforms like Databricks, Snowflake, Azure Synapse, or BigQuery
- Proficiency in AWS, Azure, or GCP environments
Nice to Have:
- Experience with ML/AI pipelines (Python, PyTorch, MLOps)
- Exposure to GenAI frameworks such as LangChain or agent-based systems
- Familiarity with AI governance and compliance standards
For more details reach at resumes@navitassols.com.