What are the responsibilities and job description for the Azure Data Engineer position at Crescens?
Job title : Azure Data Engineer
Location : Raleigh, NC (Hybrid)
Duration : 12 months
Job Responsibilities :
The client requires the assistance of a contract resource to serve as a Senior Synapse Data Engineer. Theprimary purpose of this position is to lead the development and optimization of our data pipelines,
analytics solutions, and cloud-based data platforms. This role will be instrumental in designing and implementing end-to-end data solutions using Microsoft Azure Synapse Analytics, ensuring data accessibility, performance, and security
Key Responsibilities :
- Synapse Develop and maintain data models in Synapse to support reporting and analytics Develop ETL solutions using Azure Synapse Analytics Pipelines and dedicated SQL pools for extraction, transformation and aggregation from Salesforce objects. Analyze the source system and design the ETL data load.
- Ability to create and configure Azure Synapse Analytics workspace. Create pipelines in Azure Synapse using Linked Services / Datasets / Pipeline to Extract, Transform and Load data from different sources. Perform regular monitoring, troubleshooting, and maintenance of the data architecture and pipelines.
- Contribute to cloud infrastructure and security (Azure storage, networking, security, cost management) Power BI Tools Collaborate with data scientists, analysts, and stakeholders to gather requirements, design visualizations, and provide training to use self-service BI Tools. Salesforce and MuleSoft Knowledge of Salesforce object and data structures Design and implement data integrations between Salesforce and Azure Synapse using APIs, ETL tools, and integration platforms like MuleSoft and Azure Data Factory / Azure Synapse Analytics.
- Strong knowledge of Salesforce APIs (REST, SOAP), Apex, and Lightning Web Components Familiarity with integration tools like MuleSoft, Informatica, or similar. Governance Implement and maintain best practices for data governance, security, and compliance. Maintain data documentation (data model updates; data dictionary upkeep
Desirable Skills / Experience :
