Dice is the leading career destination for tech experts at every stage of their careers. Our client, Infinity Tech Group Inc, is seeking the following. Apply via Dice today! Role: Azure Data Engineer (Hybrid 2 Days Onsite/ Week) Financial Client Location: Newark, NJ Duration: 12+ Months JOB DESCRIPTION: Key Skills: Azure Data Factory Python/PySpark Azure SQL/Synapse Semantic Layer/ Data Access layer DB Performance Tuning Summary: 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. Your Required Skills: Bachelor's degree in Computer Science or a related field. 3+ 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 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 the ability to conduct root cause analysis on system, process, or production problems and provide viable solutions. Experience working in an Agile environment with Scrum Master/Product owner and ability to deliver. Knowledge of Jira, Confluence, SAFe development methodology & DevOps. Your Desired Skills: Understanding of capital markets within Fixed Income. Microsoft Fabric experience. #J-18808-Ljbffr
Sr. Cloud Systems Architect
CGS Federal (Contact Government Services)Chicago, IL
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HumanaPojoaque, NM
The Lead Application Architect at Humana will design and develop IT application architecture solutions to enhance integrated health services. This role requires collaboration across teams to innovate and improve consumer experiences in healthcare technology.
Job Type
Fulltime role
Skills required
Azure, Synapse, Agile
Location
Newark, NJ
Salary
No salary information was found.
Date Posted
November 8, 2024
Sr. Cloud Systems Architect
CGS Federal (Contact Government Services)Chicago, IL
CGS Federal is seeking a Sr. Cloud Systems Architect in Chicago, IL, to engineer and support public, private, and hybrid cloud infrastructures. The ideal candidate will have extensive experience with AWS and Azure, along with strong cloud management and security skills.
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Lead Application Architect (Integrated Health)
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The Lead Application Architect at Humana will design and develop IT application architecture solutions to enhance integrated health services. This role requires collaboration across teams to innovate and improve consumer experiences in healthcare technology.
DICE is seeking an Azure Data Engineer for a financial client in Newark, NJ, to design and implement data storage systems and integration processes using Azure services. This hybrid role requires expertise in data management, ETL, and big data technologies.