Azure Data Engineer

Responsibilities:

• Designs and implements data workflows ensuring proper database architectures, coding standards, and quality assurance policies and procedures.
• Creates and maintains automated solutions spanning the code management, build, package, deploy and delivery functions of DevOps.
• Maintains and improves CI/CD and automated testing pipelines.
• Successfully manages the day-to-day usage and provisioning of cloud and hybrid resources based on the project needs.
• Moves implementation through development phases, from project initialization to deployment.
• Updates, deploys, and monitors systems developed by the team, looking for opportunities to improve performance, reliability, and automation.
• Identifies, evaluates, recommends, and implements new tools and methodologies to optimize processes.
• Creates integration strategies and methods, which improve system performance, monitoring, and future scalability and high availability.
• Diagnoses and resolves database performance issues.
• Interfaces with Digital leadership, managers, and colleagues to describe the DevOps processes.
• Works closely with Data Lake leadership, Data Lake managers and IS colleagues to support functional business and information needs.
• Follow processes to ensure HIPAA and institutional compliance in all aspects of the work.
• Use/s the Mass General Brigham values to govern decisions, actions, and behaviors.
• These values guide how we get our work done: Patients, Affordability, Accountability & Service Commitment, Decisiveness, Innovation & Thoughtful Risk; and how we treat each other: Diversity & Inclusion, Integrity & Respect, Learning, Continuous Improvement & Personal Growth, Teamwork & Collaboration.

Key Skills:

• Data warehouse.
• Machine learning.
• Technology.
• SQL.
• Problem solving.
• Communication.
• Data visualization.

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