Senior Data Engineer

Job Summary

Designing and deploying AI-powered solutions, the full-time Senior Data Engineer will architect complex ETL processes and data pipelines, leveraging Databricks and cloud technologies, while working remotely within the U.S.

Key responsibilities:

• Architect and optimize ETL processes and data pipelines to ensure high-performance processing of large datasets
• Evaluate emerging trends in ETL frameworks and AI to drive strategic innovation within the analytics platform
• Build and maintain executive-level dashboards and semantic models in Power BI, ensuring seamless data flow from backend processes to visualizations

Required qualifications:

• Bachelor's degree or equivalent experience
• 6+ years of experience in analytics engineering, business intelligence, or data engineering roles
• 5+ years of Cloud experience (Azure, GCP, AWS, or OCI)
• 4+ years of hands-on experience using Databricks (Spark, SQL, Python) for building and optimizing data pipelines
• 1+ years of experience delivering AI-driven analytics or data solutions