Data Engineer
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Job Location:
Monthly Salary:
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
Job Title: Data Engineer
Location: Research Triangle Park Durham NC 27709 (Hybrid)
Duration: 12 Months Contract with possibility to extension
Job Description:
Q!.Please list all Professional Certifications (ex. Azure Data Engineer Associate Azure Solutions Architect Expert Microsoft Certified: Azure Fundamentals) and the year they were received. The certifications will be validated.
provide a brief description of recent professional development work with Azure Synapse Analytics integrating with Salesforce Objects.
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.
The Department of Health and Human Services (DHHS) 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)
Experience with Azure Synapse Analytics
Required
4
Years
Experience designing developing and managing Synapse pipelines
Required
4
Years
Experience with Azure Data Platform (Azure Data Factory Azure Data Lake and Azure SQL Database)
Required
4
Years
Familiarity with Event Hubs Azure Stream Analytics and Azure Functions
Desired
4
Years
Experience with Data Modeling and Warehousing (star schema snowflake schema)
Desired
4
Years
Experience with ETL/ELT processes
Desired
5
Years
Experience with Programming and Scripting (SQL T-SQL and data query optimization)
Desired
1
Years
Experience with Salesforce Integrations
Desired
3
Years
Experience with Integrations tools (MuleSoft Informatica or similar)
Desired
3
Years
Experience with DevOps and CI/CD (Git and automation tools)
Desired
5
Years
Experience with infrastructure as code (IaC) tools like Terraform
Desired
3
Years
Experience with cloud platforms (e.g. AWS and Azure) and associated services for data processing and storage
Desired
5
Years
Experience with Lightning Web Components for Salesforce reports
Desired
2
Years
Experience with Salesforce APIs (REST SOAP) Apex
Desired
1
Years
Experience with Cloud Computing
Desired
1
Years
Experience with Power BI
Desired
1
Years
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
