Assoc. Specialist (data Engineer, Central Data & Analytics)

Singapore, Singapore

Job Description


Associate Specialist, Data Engineer, Central Data & Analytics


  • Opportunity to be a part of a Data Engineering team in Singapore!
  • Based in Singapore, the regional hub for Asia Pacific (AP) and top-ranked biopharmaceutical company on The Straits Times and Statista\xe2\x80\x99s list of Best Employers in Singapore for three consecutive years (2020, 2021, 2022).
  • Join the premier biopharmaceutical company that has been in Singapore for more than 25 years and in AP for over 60 years.

The Associate Specialist in Data Engineering will be part of the Central Data & Analytics team, within the CTO organization, and be based in the Singapore Tech Center Office. The candidate will contribute to the overall data & platform engineering related work includes, but not limited to, establishing the platform/infrastructure for data & analytics initiatives, maintenance, and optimization of the infrastructure, building data warehouse/lake house, creation of ETL/ELT pipelines and orchestration of data pipelines.


Primary Responsibilities
  • Involvement in the design, build, and support of CTO\xe2\x80\x99s product including the product enhancement and roadmap.
  • Participate in development of our end-to-end data platform including variety of components such as data storage (AWS Redshift, AWS S3, Databricks, Oracle, Teradata or similar), Orchestration (Airflow), Data modeling & Data automation tools (WhereScape), SQL development frameworks (Matillion, dbt)
  • Responsible for delivering proof of concepts - short term project engagements - with the goal of contributing to projects use of our products and identify potentially new solutions for platform improvements)
  • Part of the product enablement team \xe2\x80\x93 collaborating with product owner, cross product teams and internal stakeholders to manage product backlogs and enhancement of product.
  • Analysis of data sources, proposal of optimal data layer for reporting and description of data transformation.
  • Implementation of data warehouse and lakehouse solutions to support data & analytics initiatives via code-driven/model-driven/no code, low code driven methodology.
  • Ensure strong documentations using collaborative tools such as Confluence & JIRA.
  • Conduct end-users training & collect feedback on deliverables to perform impact analysis.
  • Experience with Business Intelligence tools (E.g. Power BI, Spotfire and Qlik) to design and develop operational reports and visual complex analytical models will be added advantage.
  • Stay current with industry best practices and trends.
Education Minimum Requirement:
  • MSc Degree or BSc Degree in a Computer Science or Engineering related field is preferred (i.e. Information Technology, Business Analytics, Computer Science/Information Systems, Engineering etc).
  • Strong passion for Information Technology. Any relevant background and experience will be added advantage.
Required Experience and Skills:
  • Fresh graduates or with 2 years of relevant experience in data engineering are welcome to apply.
  • An analytical problem solver: Strong analytical and problem-solving skills and ability to work with incomplete or imperfect data, including ability to interpret and use the analytics results within the real business context.
  • Exposure to programming languages and tools such as SQL, Python, PL/SQL, Oracle, Matillion, dbt, Power BI, Spotfire, Qlik sense will be added advantage.
  • Exposure to Cloud Computing technologies such as AWS or Microsoft Azure will be added advantage.
  • Demonstrated communication and interpersonal skills, including the ability to make high-level presentations for senior executives is a plus.
  • Persistent and driven: Demonstrate characteristics of a forward thinker and self-motivator that thrives on new challenges and adapts to learning new knowledge.
  • Ability to work in a team is a must.
Current Employees apply HERE Current Contingent Workers apply HERE Secondary Language(s) : Desired Skills & Experience:
  • An analytical problem solver: Strong analytical and problem-solving skills and ability to work with incomplete or imperfect data, including ability to interpret and use the analytics results within the real business context.
  • Exposure to programming languages and tools such as SQL, Python, PL/SQL, Oracle, Matillion, dbt, Power BI, Spotfire, Qlik sense will be added advantage.
  • Exposure to Cloud Computing technologies such as AWS or Microsoft Azure will be added advantage.
  • Demonstrated communication and interpersonal skills, including the ability to make high-level presentations for senior executives is a plus.
  • Persistent and driven: Demonstrate characteristics of a forward thinker and self-motivator that thrives on new challenges and adapts to learning new knowledge.
  • Ability to work in a team is a must.
Search Firm Representatives Please Read Carefully
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: Regular Relocation: VISA Sponsorship: Travel Requirements: Flexible Work Arrangements: Shift: Valid Driving License: Hazardous Material(s): Required Skills: Data Analytics, Data Engineering, Data Management, Data Modeling, Data Visualization, Information Management, Information Technology (IT) Infrastructure, Structured Query Language (SQL) Preferred Skills: Business Intelligence Implementation, Business Intelligence Implementation, Cloud Computing, Communication, Computer Science, Data Assessment, Data Infrastructure, Data Monitoring, Data Reporting, Data Research, Data Storage, Data Transformation, Data Warehouse Development, Data Warehouse Software, Digital Analytics, Documentations, Health Data Analytics, Impact Analysis, Information Systems, Information Technology Strategies, Initiative Activity, Intelligence Reports, IT Infrastructure Operations, Maintenance Management, Maintenance Strategies {+ 9 more}
Requisition ID:
R242743

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Job Detail

  • Job Id
    JD1336210
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    Singapore, Singapore
  • Education
    Not mentioned