| Hiring for Azure Data Engineer - New Jersey (Onsite) at Remote, Remote, USA |
| Email: [email protected] |
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https://jobs.nvoids.com/job_details.jsp?id=2144957&uid= From: Ravi Teja, GAC Solutions [email protected] Reply to: [email protected] Job Title: Azure Data Engineer Location: New Jersey (Onsite) Duration: Contract Job Description Deep expertise in modern data architecture, with specific experience in Microsoft's data platform and Delta Lake architecture. 6+ years of experience in data architecture and engineering. Required 2+ years hands-on experience with Azure Databricks / ADF and Spark. Required recent experience with Microsoft Fabric platform. Key Responsibilities: Design end-to-end data architecture leveraging Microsoft Fabric's capabilities. Design data flows within the Microsoft Fabric environment. Implement OneLake storage strategies. Configure Synapse Analytics workspaces. Establish Power BI integration patterns. Integration Design: Architect data integration patterns with analytics using Azure Data Factory and Microsoft Fabric. Implement medallion architecture (Bronze/Silver/Gold layers). Ability to configure real-time data ingestion patterns. Establish data quality frameworks. Lakehouse Architecture: Implement modern data lakehouse architecture using Delta Lake, ensuring data reliability and performance. Data Governance: Establish data governance frameworks incorporating Microsoft Purview for data quality, lineage, and compliance. Microsoft Fabric Expertise: Data Integration: Combining and cleansing data from various sources. Data Pipeline Management: Creating, orchestrating, and troubleshooting data pipelines. Analytics Reporting: Building and delivering detailed reports and dashboards to derive meaningful insights from large datasets. Data Visualization Techniques: Representing data graphically in impactful and informative ways. Optimization and Security: Optimizing queries, improving performance, and securing data Azure Databricks Experience: Apache Spark Proficiency: Utilizing Spark for large-scale data processing and analytics. Data Engineering: Building and managing data pipelines, including ETL (Extract, Transform, Load) processes. Delta Lake: Implementing Delta Lake for data versioning, ACID transactions, and schema enforcement. Cluster Management: Configuring and managing Databricks clusters for optimized performance. (Ex: autoscaling and automatic termination) Keywords: business intelligence Hiring for Azure Data Engineer - New Jersey (Onsite) [email protected] https://jobs.nvoids.com/job_details.jsp?id=2144957&uid= |
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| 05:52 AM 05-Feb-25 |