Senior AI & Data Engineer developing and implementing AI solutions in collaboration with clients and teams. Working on projects involving generative AI, predictive analytics, and data mastery.
About the role
- Senior Azure Data Architect responsible for designing, deploying, and managing scalable cloud infrastructure on Microsoft Azure. Requires over 9 years of experience in cloud architecture and engineering.
Responsibilities
- Design, deploy, and manage secure, scalable, and cost-effective cloud infrastructure on Microsoft Azure
- Utilize services for networking, compute, storage, and automation
- Create highly available, multi-region cloud solutions using Azure services like virtual machines, web apps, and storage.
- Knowledge of administering of Azure environment, including provisioning, configuration, performance monitoring, policy governance, and security
- Manage access controls, implement data protection policies, and ensure all cloud solutions meet security and compliance requirements.
Requirements
- Experience: 9-12 years
- More than 5 years of technical experience and expertise with Azure Blob storage, Azure Databricks, Azure Data Factory, Pipelines, Apache Spark, and Python.
- More than 5 years’ experience with SQL Server, SQL, scripts, queries
- Experience with data engineering, database file systems optimization, APIs, and analytics as a service.
- Experience in ETL designing, building, and maintaining Cloud infrastructure in Azure
- Experience with setting up version-controlled CI/CD pipelines preferably using Azure DevOps or Git
- Excellent Communication skills, positive attitude with proactive approach
- Self driven with strong analytical, problem-solving, and collaborative skills
Benefits
- Health insurance
- Retirement plans
- Paid time off
- Flexible work arrangements
- Professional development
- Bonuses
- Stock options
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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