| Azure Data Engineer || Newark, NJ (Onsite & Hybrid) at Newark, New Jersey, USA |
| Email: [email protected] |
|
Hello, Hope you are doing good...! This is Divya from Siri Info Solutions. I have some urgent requirements with one of my clients. Please go through the Job Description and let me know your interest. In case you are not interested, it will be nice to let your friends/colleagues know of this position who may be a potential. Job Role Azure Data Engineer Location Newark, NJ (Onsite & Hybrid) Job Type Contract Position Data Management and Storage: 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. Data Integration and ETL (Extract, Transform, Load): 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. Big Data and Analytics: Utilize big data technologies such as Apache Spark. 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. 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: Software development and scripting languages. ETL tools (e.g., SSIS, Azure Data Factory, Power BI Dataflow). 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. Regards Divya Pandey LinkedIn: linkedin.com/in/divya-pandey-5345ba218 Mail Id: [email protected] -- Keywords: business intelligence information technology golang Idaho New Jersey Azure Data Engineer || Newark, NJ (Onsite & Hybrid) [email protected] |
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| 01:33 AM 31-Jan-25 |