Overview
On Site
BASED ON EXPERIENCE
Full Time
Skills
Microsoft
Analytical Skill
Data Governance
Extract
Transform
Load
Optimization
Generative Artificial Intelligence (AI)
Machine Learning Operations (ML Ops)
Database
Programming Languages
SQL
API
Budget
Storage
Stored Procedures
Microsoft Power BI
Python
PySpark
Transact-SQL
DevOps
Microsoft Azure
Artificial Intelligence
Machine Learning (ML)
Data Science
Data Lake
Leadership
Data Engineering
Analytics
Management
Cloud Computing
Conflict Resolution
Problem Solving
Innovation
Collaboration
Teamwork
FOCUS
Professional Services
Genetics
Law
Job Details
Title: Azure Data Engineer (AI & ML)
Location: Houston, TX 77024 (ONSITE)
Duration: Direct Hire
Compensation: $130K-$145K per year
Work Requirements: , Holders or Authorized to Work in the U.S.
Overview:
Experience in building and managing scalable data and AI solutions with Microsoft Platform such as Azure Synapse, MS Fabric, and Lake type storage. Skilled in developing and managing machine learning models and handling various data science tasks. Knowledgeable about analytical platform, security, data governance, AI/ML operations and DevOps.
Essential Duties
List duties and group similar items:
- Work as an Azure cloud data and solution engineer, an individual contributor, and a team player.
- Analyze, design, and determine coding, programming, and integration activities required based on specific objectives.
- Manage data pipeline job failures.
- Optimization of existing ML jobs for better performance.
- Develop processes, techniques, and tools to analyze and monitor platform performance.
- Strong working knowledge of MS Analytics Platforms such as MS Fabric, Synapse, and Data Lakes.
- Experience in developing and managing AI/ML Models.
- Experience with Gen AI Models.
- Experience in AI and ML Ops.
- Experience in the Azure cloud ecosystem.
- Experience in managing databases and objects.
- Experience Azure Data Lake Storage with Azure Synapse.
- Knowledgeable in programming languages such as SQL, Python, and PySpark.
- Identify, troubleshoot, and resolve issues related to data and AI jobs.
- Support ingestion pipelines from a data engineering standpoint.
- Participation in the design of data models for reports.
- Experience with Azure Functions and API integration.
Non-Essential Duties: Performs other duties as assigned.
- Negotiate and influence changes outside of the team that continuously shape and improve the Data strategy.
- Participate or run critical engagements, consistently delivering quality services. Drive high-quality work products within expected timeframes and on budget.
- Collaborate with advance analytics team.
Skills and Abilities:
- Build and manage Data Pipelines
- Build and manage data models
- Build and manage AI Models
- Manage and build reports in MS Fabric
- Manage Azure Data Lake Storage
- Use T-SQL (Queries, Functions, Stored Procedures)
- Code using Python and PySpark
- MS Fabric, Power BI
- Python, PySpark and T-SQL
- Azure DevOps
- AI and Machine Learning
- Data engineering in Azure
- Bachelor's degree and preferred master's degree
- Preferred 3+ years of AI/ML/Data science and Data Lake experience
- Customer-focused professional who is motivated to drive the creation of great data engineering platforms.
- Contribute to the continued evolution of Corporate Analytics Platform
- Responsible for managing a growing cloud-based data ecosystem.
Problem Solving and Innovation:
- Ability to define and create complex to simple models to build insights, predictions, and innovations from data.
- Expected to identify opportunities and to provide ideas, methods and innovations to enhance teamwork, efficiency and quality.
About INSPYR Solutions
Technology is our focus and quality is our commitment. As a national expert in delivering flexible technology and talent solutions, we strategically align industry and technical expertise with our clients' business objectives and cultural needs. Our solutions are tailored to each client and include a wide variety of professional services, project, and talent solutions. By always striving for excellence and focusing on the human aspect of our business, we work seamlessly with our talent and clients to match the right solutions to the right opportunities. Learn more about us at inspyrsolutions.com.
INSPYR Solutions provides Equal Employment Opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, INSPYR Solutions complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.