Engineer I

Description

Engineer I - Hyderabad-Hybrid

Syneos Health is a leading fully integrated biopharmaceutical solutions organization built to accelerate customer success. We translate unique clinical, medical affairs and commercial insights into outcomes to address modern market realities.

Every day we perform better because of how we work together, as one team, each the best at what we do. We bring a wide range of talented experts together across a wide range of business-critical services that support our business. Every role within Corporate is vital to furthering our vision of Shortening the Distance from Lab to Life.

Discover what our 29,000 employees, across 110 countries already know.

WORK HERE MATTERS EVERYWHERE

Why Syneos Health

• We are passionate about developing our people, through career development and progression; supportive and engaged line management; technical and therapeutic area training; peer recognition and total rewards program.
• We are committed to our Total Self culture – where you can authentically be yourself. Our Total Self culture is what unites us globally, and we are dedicated to taking care of our people.
• We are continuously building the company we all want to work for and our customers want to work with. Why? Because when we bring together diversity of thoughts, backgrounds, cultures, and perspectives – we're able to create a place where everyone feels like they belong.

Job Responsibilities

The Engineer I develops and delivers clean maintainable solutions based on Big Data applications that fulfill the strategic vision for enterprise while driving business value and innovation. Performs the full deployment lifecycle, using Azure Cloud Technologies, including installation, configuration, initial production deployment for Data Lake. Evaluates and provides technical solutions to design, develop, and support business units wishing to implement a Big Data solution. Refines raw data into a presentation layer for analytics systems. Develops applications that can interact with the data in the most appropriate way, from batch to interactive SQL.

Core Responsibilities

• Provide 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.
• Develop and implement scalable and secure cloud solutions for Big Data Platforms. Optimize data pipelines using distributed cloud computing to ensure that they support high volume / high velocity data streams and are scalable to meet growth expectations.
• Perform tuning of a Big Data /NoSQL environment with underlying impact analysis of distributed jobs to enhance data processing, analytics, and machine learning capabilities. Implement a mixed batch/near-real time architecture to analyze, index, and publish data for applications.
• Create and maintain comprehensive documentation for solution designs, configurations, and best practices. Provide training and support to clients and internal teams on solution architecture. Conduct presentations, demos, and workshops to showcase solutions

Education Requirements

Minimum 4 Year / Bachelors - Bachelor's degree in computer science,Degree Engineering, or a related field; advanced degree preferred

Qualifications

• Bachelor's degree in computer science, Engineering, or a related field; advanced degree preferred.
• Intermediate 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. Knowledge of concepts in Data Movement, Analysis, Modeling best practices.
• Good 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

Years of Experience

Min of 2 years of Cloud Engineering experience

Get to know Syneos Health

Over the past 5 years, we have worked with 94% of all Novel FDA Approved Drugs, 95% of EMA Authorized Products and over 200 Studies across 73,000 Sites and 675,000+ Trial patients.

No matter what your role is, you'll take the initiative and challenge the status quo with us in a highly competitive and ever-changing environment. Learn more about Syneos Health.

Additional Information

Tasks, duties, and responsibilities as listed in this job description are not exhaustive. The Company, at its sole discretion and with no prior notice, may assign other tasks, duties, and job responsibilities. Equivalent experience, skills, and/or education will also be considered so qualifications of incumbents may differ from those listed in the Job Description. The Company, at its sole discretion, will determine what constitutes as equivalent to the qualifications described above. Further, nothing contained herein should be construed to create an employment contract. Occasionally, required skills/experiences for jobs are expressed in brief terms. Any language contained herein is intended to fully comply with all obligations imposed by the legislation of each country in which it operates, including the implementation of the EU Equality Directive, in relation to the recruitment and employment of its employees. The Company is committed to compliance with the Americans with Disabilities Act, including the provision of reasonable accommodations, when appropriate, to assist employees or applicants to perform the essential functions of the job.

Summary

The Engineer I develops and delivers clean maintainable solutions based on Big Data applications thatfulfill the strategic vision for enterprise while driving business value and innovation. Performs the fulldeployment lifecycle, using Azure Cloud Technologies, including installation, configuration, initialproduction deployment for Data Lake. Evaluates and provides technical solutions to design, develop, andsupport business units wishing to implement a Big Data solution. Refines raw data into a presentationlayer for analytics systems. Develops applications that can interact with the data in the most appropriateway, from batch to interactive SQL.