Job Description Below:- Title: Data/ML Engineer Location:- Remote (within NY/NJ) Required: • Strong knowledge of the Databricks platform (clusters, jobs, workspace permissions, notebooks) • Azure DevOps CI/CD experience • Ability to work in Agile development using the Azure DevOps tool • Hands-on experience with Databricks CLI. • Azure Cloud Engineer • Databricks Data Engineer (ML engineer for ML engineer profile) • Develop and maintain ETL pipelines using ADF and Databricks • Apply data modeling techniques and dimensional modeling using tools like Erwin, ensuring scalability and performance • Familiarity with DAB structure and deployment lifecycle • Familiarity with Unity Catalog, workspace-level governance, and Optimization • Ability to support and troubleshoot non-data engineering workloads (e.g., admin tasks, job failures, permission issues) • Strong Python and PySpark knowledge (Able to create library/framework PyPi packages using CI/CD and use them in a Notebook) • Strong communication skills • Strategic and problem-solving skills • Experience with Jfrog (It’s optional, good to have)