IT Data Engineer (NC758028) Key Responsibilities:
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Synapse
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Develop and maintain data models in Synapse to support reporting and analytics
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Develop ETL solutions using Azure Synapse Analytics Pipelines and dedicated SQL pools for extraction, transformation and aggregation from Salesforce objects.
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Analyze the source system and design the ETL data load.
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Ability to create and configure Azure Synapse Analytics workspace.
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Create pipelines in Azure Synapse using Linked Services/Datasets/Pipeline to Extract, Transform and Load data from different sources.
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Perform regular monitoring, troubleshooting, and maintenance of the data architecture and pipelines.
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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)