Amazon Web Services (AWS), Artificial Intelligence (AI), Cloud Architecture, Cloud Computing, Cross-Functional, Data Management, Data Processing, Data Sets, Database Extract Transform and Load (ETL), GCP (Good Clinical Practices), Microsoft Windows Azure, Snowflake Schema, Software Engineering
Cloud Data Engineer – AI & Analytics Transformation
Location: US / Canada (Remote/Hybrid)
Type: Contract / Full-Time
Overview:
Join a high-impact team delivering enterprise data and AI transformation initiatives. This role emphasizes building next-generation data ecosystems and enabling intelligent decision-making through advanced analytics.
Key Responsibilities:
- Design and implement modern data architectures using cloud platforms
- Build and optimize ETL/ELT pipelines for large-scale datasets
- Work closely with cross-functional teams to deliver business insights
Required Skills:
- Expertise in data engineering tools such as Snowflake, Databricks, or BigQuery
- Strong cloud experience (AWS, Azure, GCP)
- Experience in distributed data processing and pipeline orchestration
Nice to Have:
- Exposure to ML engineering and MLOps practices
- Experience with GenAI or Agentic AI solutions
- Understanding of enterprise AI governance frameworks
For more details reach at resumes@navitassols.com.