
Data Scientist- Mid Level
22nd Century Technologies · Raleigh, NC
Strong hiring record · median 30 days open
All reasons
In its favour
- Posted today
- Still listed on the employer's own board
Client requires the services of a Senior Data Analyst who will help design, manage, and optimize enterprise data pipelines, data warehouses, and analytics solutions within Microsoft Azure. This role transforms complex data into business insights and drives advanced analytics using Azure Synapse Analytics, Microsoft Fabric, and Azure AI services.
Responsibilities
- Design, build, and maintain robust enterprise ETL/ELT pipelines using Azure Data Factory, Synapse Pipelines, or PL/SQL procedures.
- Manage and optimize Azure Synapse Analytics (SQL and Spark pools) and Microsoft Fabric Lakehouse.
- Develop, test, and tune complex SQL and PL/SQL scripts, stored procedures, packages, and functions to support data integration.
- Collaborate with business users to define analytical goals and build Power BI-ready datasets.
- Integrate AI and machine learning insights using Azure Machine Learning and Azure OpenAI Service.
- Enforce data governance, quality, and security via Microsoft Purview and Microsoft Entra ID.
- Build cross-functional reporting, dashboards, and predictive analytics models.
Skills
Required
Required Experience
Candidate Experience
Last Used
Experience in enterprise data analytics, engineering, and designing complex ETL workflows.
Required
7
Years
Expertise in Azure Synapse Analytics, Azure Data Factory, and cloud data warehousing
Required
4
Years
Advanced SQL and PL/SQL skills, including query optimization, performance tuning, and indexing strategies
Required
7
Years
Hands-on experience with PySpark, Python, or Scala
Required
6
Years
Experience with data modeling, performance tuning, and cost optimization in Azure
Required
4
Years
Strong knowledge of Microsoft Entra ID, role-based access control (RBAC), and cloud security
Required
3
Years
Familiarity with Power BI semantic models and dataflows
Required
3
Years
Knowledge of Azure OpenAI or generative AI data integration
Highly desired
3
Years
Ability to organize, prioritize, and follow complex and/or detailed technical procedures
Required
7
Years
Experience with Agile (Scrum, Kanban, or SAFe) development
Required
3
Years
Description
Questions
Answers
Question 1
Absences greater than two weeks MUST be approved by CAI management in advance, and contact information must be provided to CAI so that the resource can be reached during his or her absence. The Client has the right to dismiss the resource if he or she does not return to work by the agreed upon date. Do you agree to this requirement?
Question 2
All work must be completed on-site. Do you agree to this requirement?
Question 3
Your candidate must be able to attend an in-person interview. Do you agree to this requirement?
Question 4
What is your candidate's email address?
Question 5
How soon can your candidate start if selected for this opportunity?
Question 10
Payment for all approved hours will be paid at the straight hourly rate regardless of the total hours worked by the engaged resource. It is the responsibility of the Vendor to adhere to any applicable compensation laws including payment for overtime hours. Do you agree to this requirement?
Question 11
Have you thoroughly validated, and attest to the accuracy of, the credentials listed throughout your candidate's VectorVMS profile and resume pursuant to Section 5.2.5 of ITS-009440?
Question 12
Please provide candidate's current location (City and State), NOT a Yes or No response
Question 13
Please list all the certifications candidate has around relational databases including ORACLE, SQL Server etc. Azure and other cloud services.
Skills
- Azure
- Synapse
- Microsoft Fabric
- Azure AI Services
- ETL
- ELT
- Azure Data Factory
- PL/SQL
- SQL
- Spark
- Power BI
- Machine Learning
- Azure ML
- Azure OpenAI
- Microsoft Entra ID
- PySpark
- Python
- Scala
- RBAC
- Generative AI
- Oracle Database
- SQL Server
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