Cloud Data Engineer
- Hybrid
- New York City, New York, United States
- Information Technology
Cloud Data Engineer with 8-10 years experience in Databricks, Azure, Snowflake, and MLflow. Skilled in building scalable data pipelines, optimizing infrastructure, and managing end-to-end workflows.
Job description
Job Summary
We are looking for an experienced Cloud Data Engineer to design, build, and maintain scalable data infrastructure. The ideal candidate will have strong expertise in modern data platforms, cloud technologies, and data pipeline development.
Key Responsibilities
Design, develop, and maintain robust data pipelines
Build and optimize data infrastructure on cloud platforms
Work with Databricks for data processing and analytics
Implement and manage ML workflows using MLflow
Integrate data solutions with Snowflake
Ensure data quality, reliability, and performance
Collaborate with cross-functional teams for data-driven solutions
Job requirements
Required Skills & Qualifications
Strong experience in data engineering and pipeline development
Hands-on experience with Databricks
Experience with Azure cloud services
Proficiency in MLflow for ML lifecycle management
Experience with Snowflake data warehouse
Strong SQL and data modeling skills
Preferred Qualifications
Experience with big data technologies (Spark, Delta Lake)
Knowledge of CI/CD for data pipelines
Understanding of data governance and security
or
All done!
Your application has been successfully submitted!
You've already applied for this job
We appreciate your interest in this position. Unfortunately, you have already applied for this job.