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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

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