Analytics Platform Engineer
EyeBio
Job Description
Based in Singapore, the regional hub for Asia Pacific (AP) and top-ranked biopharmaceutical company on The Straits Times and Statista’s list of Best Employers in Singapore for two consecutive years (2020, 2021).
Join the premier biopharmaceutical company that has been in Singapore for more than 25 years and in AP for over 60 years.
We are seeking an Analytics platform engineer to become a member of our Decision Intelligence team, within the Analytics team.
The Analytics team, which is under Integration, Data and Analytics Foundations, part of the Digital Foundations within Chief Technology Office, is responsible for creating a seamless experience for analytics experts to harness the potential of data and interactive analytics. The Decision intelligence team plays a crucial role in bridging the gap between data engineering and data analysis.
This role involves demonstrating skills and gaining experience in platform engineering, automations, observability, and innovations. As a platform engineer, you will collaborate with the Technical lead, Technical Platform Owner, Architects, and other stakeholders from the company to develop scalable and high-performing enterprise platforms. The position requires technical engineering of the platforms and enabling capabilities in compliance with best practices. It also involves working on cross-platform activities.
What you'll do
Support architecting, designing, planning, building and operating activities related to Decision Intelligence platforms in the Company.
Coordinate geographically distributed teams in support of platform engineering activities; automation, upgrade and patch coordination, platform administration guidance, monitoring, troubleshooting and performance analysis.
As a subject matter expert drive the definition of best practices, platform governance and platform delivery guidelines.
Support Decision Intelligence technology roadmap and future state capabilities.
Write technical documentation including, but not limited to configuration artifacts, infrastructure/technical diagrams, installation qualification and validation documentation.
Maintain current industry knowledge of best practices and procedures.
Provide technical expertise and support to internal stakeholders and implementation teams.
Effectively engage, both in person and virtually, with a global, multi-cultural team across different products to identify and leverage synergies.
We are seeking professionals with the following qualifications, skills and experience:
Education Minimum Requirement:
BSc in IT, Engineering, Computer Science, or related field.
Required skills
A strong understanding of Power BI, Qlik Sense, Spotfire and similar tools. Architectural understanding and platform engineering experience on these tools.
Experience in building and supporting large scale visualization platforms and solutions using modern cloud technologies.
Proficiency in SQL, Python and Powershell.
Good understanding of AWS cloud eco system and hands on experience with services like EC2, RDS, Lambda etc.
Good understanding of Terraform and CI/CD tools.
Familiarity with Release Management, Problem and Incident Management, Software Development Life Cycle best practices.
Ability to clearly communicate technical and non-technical information verbally and in writing.
Excellent interpersonal and communication skills, with the ability to quickly establish credibility and trust with a variety of stakeholders.
Nice to have skills
Knowledge of Azure cloud services.
Basic understanding of Power Platform tools.
Prior experience in developing and launching multi-tenant platforms that cater to technical user base
Knowledge and experience of any Conversational BI tool.
Basic understanding of Copilots, LLM’s and AI Agents.
Certifications in one or more cloud technologies.
What we look for…
Imagine getting up in the morning for a job as important as helping to save and improve lives around the world. Here, you have that opportunity. You can put your empathy, creativity, digital mastery, or scientific genius to work in collaboration with a diverse group of colleagues who pursue and bring hope to countless people who are battling some of the most challenging diseases of our time. Our team is constantly evolving, so if you are among the intellectually curious, join us — and start making your impact today.
We are proud to be a company that embraces the value of bringing diverse, talented, and committed people together. The fastest way to breakthrough innovation is when diverse ideas come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another’s thinking and approach problems collectively. We are an equal opportunity employer, committed to fostering an inclusive and diverse workplace
Required Skills:
Amazon Web Services (AWS), Communication, Computer Science, Data Engineering, Data Visualization, Design Applications, Software Configurations, Software Development, Software Development Life Cycle (SDLC), Solution Architecture, System Designs, Systems Integration, TestingPreferred Skills:
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Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails.
Employee Status:
RegularRelocation:
VISA Sponsorship:
Travel Requirements:
Flexible Work Arrangements:
HybridShift:
Valid Driving License:
Hazardous Material(s):
Job Posting End Date:
11/13/2025*A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.