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Expert Cloud Data Engineer

  • On-site, Hybrid
    • New York City, New York, United States
  • Information Technology

Expert Cloud Data Engineer with 10-12 years experience in Azure Databrick Snowflake and MLflow building scalable pipelines optimizing infrastructure and delivering reliable performance data solutions.

Job description

Role Overview:
We are looking for an Expert Cloud Data Engineer with 10–12 years of experience to architect, build, and maintain scalable, high-performance data platforms. The role focuses on designing robust data pipelines and enabling advanced analytics using modern cloud and data technologies.

Key Responsibilities:

  • Design, develop, and maintain scalable data pipelines using Databricks

  • Build and optimize data processing workflows on Azure cloud platform

  • Implement and manage MLflow for end-to-end machine learning lifecycle

  • Develop and manage Snowflake-based data warehousing solutions

  • Ensure high data quality, governance, security, and performance

  • Optimize data ingestion, transformation, and storage processes

  • Troubleshoot and resolve data-related issues across systems

  • Collaborate with data scientists, analysts, and engineering teams

Job requirements

Required Skills:

  • 10–12 years of experience in data engineering and cloud platforms

  • Strong expertise in Azure (ADF, ADLS, Synapse, etc.)

  • Hands-on experience with Databricks (Spark, Delta Lake)

  • Proficiency in MLflow for experiment tracking and deployment

  • Strong experience with Snowflake architecture and optimization

  • Expertise in SQL, Python, and distributed data processing

  • Experience building scalable, production-grade data pipelines

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