Senior Engineer developing solutions for Big Data applications using Azure Cloud Technologies at Syneos Health. Engaging with clients to define business needs and deliver tailored cloud solutions.
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.
Evaluates and provides technical solutions to design, develop, and support as required in a lead role.
Refines raw data into actionable insight using visualization and statistics.
Develops applications that can interact with data 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.
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.
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.
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