Blue Pearl
Senior Automation and AI Engineer
Job Description
tools, Azure cloud services, and Python development. We’re looking for an individual with a proven
track record of implementing high-impact, ROI-driven solutions for prominent US-based organizations.
Key Responsibilities:
• Design, develop, and maintain scalable automations leveraging tools like Blueprism and
Power Automate
• Design, develop, and maintain reuseable architecture components in Azure Functions
and or Logic Apps
• Design, develop, and maintain scalable, efficient data pipelines leveraging Azure Data
Factory (ADF), incorporating AI-driven optimizations.
• Conduct advanced data modeling, including intelligent normalization and
denormalization, to design efficient data structures for Operational Data Store (ODS)
leveraging Azure SQL Server
• Craft sophisticated T-SQL scripts, including AI-enhanced triggers, stored procedures,
and functions, to support complex data processing and reporting requirements.
• Implement intelligent monitoring and tuning of database and query performances,
utilizing Azure Monitor and AI-powered optimization tools to ensure peak data
processing speeds and system reliability.
• Leverage Azure DevOps team to implement and enhance CI/CD pipelines for movement
of artifacts between environments
• Produce and maintain comprehensive documentation for logic apps, function apps, data
models, ETL processes, and data pipeline architectures, leveraging AI-assisted
documentation tools to ensure clarity and sustainability.
• Develop and integrate machine learning models and AI algorithms to enhance data
processing, predictive analytics, and automated decision-making capabilities within our
solutions.
Requirements
Professional Qualifications:
• Minimum of 3 years of experience as a Data Engineer or Developer, with a strong focus
on Azure Cloud Services and intelligent automation technologies
• Expert knowledge of Azure Data Factory, Azure Functions, Azure LogicApps, Azure
SQL Database and other Azure data services, including AI and machine learning
capabilities
• Proficient in automation technology, such as Blueprism or Power Automate
• Proficient in advanced data integration, intelligent data ingestion, and real-time data
processing techniques
• Advanced skills in Python and T-SQL scripting, with experience in implementing AI and
machine learning algorithms
• Strong familiarity with CI/CD practices, Azure DevOps, and Git, including automated
testing and intelligent code review processes
• Proven ability to work collaboratively with cross-functional teams to translate complex
business requirements into innovative technical solutions
• Experience with natural language processing (NLP) and computer vision technologies for healthcare applications is a plus
Education and Certifications:
• Bachelor’s degree in engineering, computer science or related field
• Relevant Azure and RPA certifications highly preferred, particularly those related to AI,
intelligent automation and data engineering