Syneos Health

Senior Engineer – Azure Cloud, API, Automation, AI

Syneos Health

full-time

Posted on:

Location Type: Hybrid

Location: Hyderabad • India

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Job Level

Senior

Tech Stack

AzureCloudNoSQLSQL

About the role

  • 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

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
Big Data applicationsAzure Cloud TechnologiesSQLData LakeData MeshNoSQLdata governanceperformance tuningdata movementdata analysis
Soft skills
problem-solvingcommunicationcollaborationpresentation skillstechnical guidanceclient engagementteamworkleadershiptrainingdocumentation
Certifications
Bachelor’s degree in computer scienceBachelor’s degree in Engineeringadvanced degree preferred