Cloud Data Developer / Engineer - Hybrid

Job Title: Data Engineer (Databricks, Spark, Python) Location: NYC ( Hybrid - 3 Days Onsite / Week) Duration: 12+ Months Contract Job Description We are looking for an experienced Data Engineer with strong hands-on expertise in Databricks, SQL, and Python to support enterprise-scale data engineering initiatives for Disney The ideal candidate should have solid experience building scalable data pipelines, working with large datasets, and supporting cloud-based data platforms. Required Skills At

Senior AWS Data Analytics EngineerIntroductionWe are seeking a Senior Data Engineer to design, build, and support scalable data pipelines and analytics datasets that power enterprise reporting across Finance, Technology, and Operations. This role focuses on ingesting data from corporate systems, organizing it in a cloud-based data lake, and enabling reliable reporting through Amazon QuickSight. The ideal candidate is a hands-on engineer comfortable with modern AWS data services, collaborating wi

Job Title: Azure Data Engineer Location: Hybrid NYC (2294) JOB DESCRIPTION 1.Azure Platform Experience: The candidate should have hands-on experience with various Azure services including but not limited to Azure Data Factory, Databricks, Data Lake, and Power BI. They should be able to design, build, and maintain ETL pipelines, manage data lakes, and create insightful reports and visualizations. Experience with Azure SQL Database, Azure Synapse Analytics, Azure COSMOS DB , Azure ML, other

Google Cloud Platform Data Architect New York City, NY Hybrid (2/3 days office/week) Responsibilities: Platform Architecture: Design and implement end-to-end data solutions, including modern data lakes, data warehouses, and batch/streaming data pipelines. Cloud Modernization: Lead the migration of on-premises or legacy data warehouses (e.g., Teradata, Oracle, Informatica) to Google Cloud Platform-native architectures. Data Governance & Security: Implement strict data security frameworks, da