Azure Synapse Data Engineer - Hybrid

Title: Azure Synapse Data Engineer - Hybrid

Location: Durham, NC, USA

Length: Long term

Restriction: W2 or C2C

Description:

*** Very long term project initial PO for 1 year, expect to go for 4+ years *** Hybrid***

Short Description:

Our client is seeking a Senior Synapse Data Engineer to lead the development and optimization of end to end solutions using Microsoft Azure Synapse Analytics, ensuring data accessibility, performance, and security for the Child Welfare Program.

Job Description:

Our cleint 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)

Required Skills

Experience with Azure Synapse Analytics 4 Years

Experience designing, developing, and managing Synapse pipelines 4 Years

Experience with Azure Data Platform (Azure Data Factory, Azure Data Lake, and Azure SQL Database) 4 Years

Desired Skills

Familiarity with Event Hubs, Azure Stream Analytics, and Azure Functions 4 Years

Experience with Data Modeling and Warehousing (star schema, snowflake schema) 4 Years

Experience with ETL/ELT processes 5 Years

Experience with Programming and Scripting (SQL, T SQL, and data query optimization) 1 Years

Experience with Salesforce Integrations 3 Years

Experience with Integrations tools (MuleSoft, Informatica, or similar) 3 Years

Experience with DevOps and CI/CD (Git and automation tools) 5 Years

Experience with infrastructure as code (IaC) tools like Terraform 3 Years

Experience with cloud platforms (e.g. AWS and Azure) and associated services for data processing and storage 5 Years

Experience with Lightning Web Components for Salesforce reports 2 Years

Experience with Salesforce APIs (REST, SOAP), Apex 1 Years

Experience with Cloud Computing 1 Years

Experience with Power BI 1 Years