Expert Cloud Data Engineer

Job Title: Cloud Data Engineer Location: New York, NY Build and maintain robust data infrastructure MLFLow, Datapipeline using Databricks technology stack, Azure cloud stack, Snowflake

Must have : Languages & Scripting:Spark, Python, Java, Scala, Hive, Kafka, SQL Cloud Platforms:AWS DataWarehousing & Analytics:Redshift or Snowflake or Big Query DataIntegration & ETL:AWS Glue, Aws EMR, Spark,DataBricks CI/CD:AWS Code Pipeline, Jenkins, CloudFormation, Docker, Kubernetes JD : Results-drivenDataEngineerwith a decade of expertise inDataengineering across cloud platforms with a total of 12 years in IT.Extensive experience utilizing Google Cloud Platform (Google Cloud Platform) ser

Title Senior Cloud Data Engineer/Architect Location New York City Hybrid Duration 12+ months Project - Build and maintain robust data infrastructure. Skills Required MLFLow, Data pipeline using Databricks technology stack, Azure cloud stack, Snowflake. Mandatory - Use of AI Coding agents Co-pilot, AMP, Claude Code is a must have requirement for the job

Title: Snowflake Data EngineerLocation : New Jersey, USAExperience : 11Need locals to NJ onlySkills Needed: Python, Snowflake development, Snowflake data modeling, End-to-end data engineering, Data pipeline development, EtcSenior Python and Snowflake Developer to design, build, and optimize scalable data pipelines, develop robust backend services, implement Snowflake data models, and drive end-to-end data engineering solutions. The role involves collaborating with cross-functional teams, enhanci