Senior Engineer developing Azure Cloud solutions for Big Data applications at Syneos Health. Providing technical guidance and implementing scalable cloud solutions for data management and analytics.
Responsibilities
Provides advance level of designs, develops, and delivers clean maintainable solutions based on Big Data applications
Performs the full deployment lifecycle, using Azure Cloud Technologies, including installation, configuration, initial production deployment, recovery, security and data governance for Data Lake
Evaluates and provides technical solutions to design, develop, and support as required in a lead role for business units wishing to implement a Big Data solution
Refines raw data into actionable insight using visualization and statistics with innovative analytics applications and systems
Develops applications that can interact with the data in the most appropriate way, from batch to interactive SQL
Provide advanced level technical guidance and support to development teams and clients throughout the solution lifecycle
Troubleshoot and resolve complex issues related to Cloud based Data Lake and Data Mesh environments
Stay current with emerging technologies and trends and recommend best practices
Design, develop, and implement scalable and secure cloud solutions for Big Data Platforms
Architect and optimize data pipelines using distributed cloud computing
Develop guidelines and plans for performance tuning of a Big Data /NoSQL environment
Implement a mixed batch/near-real time architecture to analyze, index, and publish data for applications
Develop and implement strategies for data governance, security, and compliance
Create and maintain comprehensive documentation for solution designs, configurations, and best practices
Provide training and support to clients and internal teams on solution architecture
Engage with clients to understand their business needs and deliver tailored cloud solutions
Conduct presentations, demos, and workshops to showcase Data Lake Capabilities
Requirements
Bachelor’s degree in computer science, Engineering, or a related field; advanced degree preferred
Advanced level experience in cloud engineering or solution architecture with a focus on Azure and related capabilities
Demonstrated ability to engage both developers and business partners to achieve target outcomes
Experience with DevOps and best practices for Coding in a distributed Cloud environment
Command of Data Movement, Analysis, Modeling best practices.
Excellent written and verbal communications; Solid written and oral presentation skills
Excellent problem-solving skills, strong communication abilities, and the ability to work collaboratively in a team environment
Demonstrated ability to define business use cases and measure / communicate proposed project benefits
Benefits
career development and progression
supportive and engaged line management
technical and therapeutic area training
peer recognition and total rewards program
Job title
Senior Engineer – Azure Cloud, API, Automation, AI
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