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About the role
- 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
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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