Overview
On Site
Accepts corp to corp applications
Contract - Independent
Contract - W2
Contract - 6 month(s)
Skills
.NET
C#
Java
Azure
Automation
Powershell
Python
GCP
Generative AI
Cloud Integration
Data Pipelines
AI/ML Integration
Large Language Models (LLMs)
Prompt Engineering
ML Data Preparation
Azure AI Services
Google Vertex A
Integration Tests
Job Details
Location & Work Arrangement
- Location: State of Ohio (Specific city details are not provided, but the role supports the state.)
- Work Arrangement: Onsite
- Contract: This is a Contract position.
- Mode of Interview: Virtual Interviews via Microsoft Teams.
Key Responsibilities
Data Engineering & Database Management
- SQL Server DBA: Install, configure, maintain, and tune MS SQL Server databases for high performance and availability. Design, implement, and rigorously test backup and disaster recovery (DR) plans.
- Security & T-SQL: Manage database security, user access, and data masking for compliance. Write, test, and optimize complex T-SQL stored procedures, triggers, and functions.
- Cloud Integration: Set up, manage, and monitor data pipelines between on-premise systems and cloud platforms (Azure and Google Cloud Platform).
- Automation & DevOps: Utilize PowerShell and other scripting tools to automate data preparation, model deployment pipelines, and database tasks. Contribute to CI/CD pipelines and work with cloud platforms for application deployment and monitoring.
AI & Machine Learning Integration
- AI Integration: Design, build, and maintain integrations with third-party and cloud-native AI/ML services (e.g., Azure AI Services, Google Vertex AI).
- Prompt Engineering: Develop, test, and refine prompts for Generative AI and LLMs to ensure accurate and consistent outputs for business applications.
- ML Data Preparation: Collaborate with data scientists to prepare, cleanse, and structure datasets for ML model training and inference.
Required Qualifications (3-5 Years)
- Database Expertise: 3-5 years experience as an MS SQL Server DBA OR strong proficiency in C# and the .NET ecosystem.
- T-SQL & Scripting: Strong proficiency in writing and optimizing complex T-SQL and stored procedures, plus proven experience developing PowerShell scripts for automation.
- Cloud/AI Integration: Hands-on experience integrating with AI/ML platforms (e.g., Azure AI, Google Vertex AI) and managing data integrations with Azure and/or Google Cloud Platform.
- AI Concepts: Demonstrable experience with prompt engineering for generative AI models and a solid understanding of machine learning concepts.
- Development Support: Experience with software testing, data validation, and creating technical documentation.
Preferred Skills
- Working knowledge of Python or Java.
- Familiarity with ML libraries (scikit-learn, TensorFlow, PyTorch).
- Experience with SQL Server High-Availability (HA) solutions (e.g., Always On) and ETL tools like SSIS or Azure Data Factory.
- Relevant Microsoft, Azure, or Google Cloud certifications.
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