Job description

P {margin-top:0;margin-bottom:0;} Microsoft Fabric Data Engineer W2 rate: 57/hr Location: Newark, NJ - hybrid onsite (LOCAL CANDIDATES ONLY) Please DO NOT share any profiles without Fabric experience or DP-600 Fabric Certification or DP-203 Azure Data Engineer Certification. Only NJ based profiles. Key words to search in resume: Microsoft Fabric, Azure Data Factory, Azure Data Engineer 8+ Years · Data Management and Storage: o Design and implement data storage systems using Azure services like Azure SQL Database, Azure Data Lake Storage, and Azure Synapse. o Ensure scalability, performance, and cost-effectiveness. · Data Integration and ETL (Extract, Transform, Load): o Develop and implement data integration processes using Azure Data Factory. o Extract data from various sources, transform it, and load it into data warehouses or data lakes. · Big Data and Analytics: o Utilize big data technologies such as Apache Spark. o Create data processing workflows and pipelines to support data analytics and machine learning applications. · Build and maintain new and existing applications in preparation for a large-scale architectural migration within an Agile function. · Monitor and optimize data pipelines and database performance to ensure data processing efficiency. · Build interfaces for supporting evolving and new applications and accommodating new data sources and types of data. · Document data engineering processes, data models, and pipelines to ensure transparency and maintainability. · Bachelor's degree Computer Science or a related field. · 5+ of experience in building data and analytics platform focused on Azure data and analytics solutions. · Expertise in Azure services such as Azure SQL Database, Azure Data Factory, Azure Synapse Analytics, and Azure Data Lake Proficiency in: o Software development and scripting languages o ETL tools (e.g., SSIS, Azure Data Factory, Power BI Dataflow). o Database management (MSSQL, Azure SQL Database, Azure Data Lake Storage, and Azure Synapse). · Knowledge of data modeling and data warehousing concepts. · Excellent problem-solving and troubleshooting abilities. · Attention to detail and commitment to data accuracy. · Experience with cloud-based data migration. · Strong analytical and problem-solving skills, with ability to conduct root cause analysis on system, process or production problems and ability to provide viable solutions. · Experience working in an Agile environment with Scrum Master/Product owner and ability to deliver. · 3+ years of programming experience in Python/Pyspark. · Knowledge of Jira, Confluence, SAFe development methodology & DevOps

Requirements