ESR Healthcare
Microsoft Fabric Data Engineer (14362-1) Newark, NJ
ESR Healthcare, Newark, New Jersey, us, 07175
Microsoft Fabric Data Engineer (14362-1) Newark, NJ
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Overview
Experience level: Mid-senior Experience required: 7 Years Education level: Bachelor’s degree Job function: Information Technology Industry: Information Technology and Services Pay rate: $64 per hour Total position: 1 Relocation assistance: No Visa sponsorship eligibility: No Important note
Only local candidates can apply. 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. Keywords to search in resume: Microsoft Fabric, Azure Data Factory, Azure Data Engineer Responsibilities
Design and implement data storage systems using Azure services like Azure SQL Database, Azure Data Lake Storage, and Azure Synapse. Ensure scalability, performance, and cost-effectiveness of data storage solutions. Develop and implement data integration processes using Azure Data Factory. Extract data from various sources, transform it, and load it into data warehouses or data lakes. Utilize big data technologies such as Apache Spark to create data processing workflows and pipelines to support data analytics and machine learning applications. Build and maintain 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 evolving and new applications and accommodate new data sources and types of data. Document data engineering processes, data models, and pipelines to ensure transparency and maintainability. Support data engineering activities with knowledge of Azure data and analytics solutions. Qualifications
Bachelor's degree in Computer Science or a related field. 5+ years of experience in building data and analytics platforms 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 software development and scripting languages. Experience with ETL tools (e.g., SSIS, Azure Data Factory, Power BI Dataflow). Database management experience (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 data accuracy. Experience with cloud-based data migration. Strong analytical and problem-solving skills with ability to conduct root cause analysis and 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. 7+ years of experience in Microsoft Azure. Knowledge of Jira, Confluence, SAFe development methodology, and DevOps. Additional Notes
Please submit the candidate's resume in PDF format. Please remove the candidate's LinkedIn URL from the resume; otherwise, the profile will not be considered.
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Experience level: Mid-senior Experience required: 7 Years Education level: Bachelor’s degree Job function: Information Technology Industry: Information Technology and Services Pay rate: $64 per hour Total position: 1 Relocation assistance: No Visa sponsorship eligibility: No Important note
Only local candidates can apply. 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. Keywords to search in resume: Microsoft Fabric, Azure Data Factory, Azure Data Engineer Responsibilities
Design and implement data storage systems using Azure services like Azure SQL Database, Azure Data Lake Storage, and Azure Synapse. Ensure scalability, performance, and cost-effectiveness of data storage solutions. Develop and implement data integration processes using Azure Data Factory. Extract data from various sources, transform it, and load it into data warehouses or data lakes. Utilize big data technologies such as Apache Spark to create data processing workflows and pipelines to support data analytics and machine learning applications. Build and maintain 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 evolving and new applications and accommodate new data sources and types of data. Document data engineering processes, data models, and pipelines to ensure transparency and maintainability. Support data engineering activities with knowledge of Azure data and analytics solutions. Qualifications
Bachelor's degree in Computer Science or a related field. 5+ years of experience in building data and analytics platforms 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 software development and scripting languages. Experience with ETL tools (e.g., SSIS, Azure Data Factory, Power BI Dataflow). Database management experience (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 data accuracy. Experience with cloud-based data migration. Strong analytical and problem-solving skills with ability to conduct root cause analysis and 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. 7+ years of experience in Microsoft Azure. Knowledge of Jira, Confluence, SAFe development methodology, and DevOps. Additional Notes
Please submit the candidate's resume in PDF format. Please remove the candidate's LinkedIn URL from the resume; otherwise, the profile will not be considered.
#J-18808-Ljbffr