Senior Manager, Data Platform & Products - Data Engineering - Data Engineer

Job Description

Senior Data engineer – Manufacturing data products

 

Team overview:  
Our organization is responsible for the global Data & Analytics transformation of our company Manufacturing division. We collaborate internationally to deliver digital services and products that help the organization to achieve its digital strategy. We are also responsible for build and evolve the larger divisional data ecosystem.

Position overview: 

The role of a data engineer focuses on the engineering and development work related to the creation of reusable data products, models and assets that provide data for broader divisional use in our company Manufacturing division. Incumbent will be responsible for understanding business/data requirements, formulating appropriate solution architectures, building data structures and models supporting business goals, and generally providing technical leadership to the group.  The incumbent must demonstrate fluency with cloud technologies, such as AWS, and big data environments.  Collaboration and the ability to communicate solutions to a non-technical audience is key. Relevant knowledge of manufacturing processes and systems is big benefit, including manufacturing execution, lab management, ERP, quality, and supply chain.  Interest in mentoring and leading other colleagues is a plus. 

 

Role description: 

·       Help building data ecosystem supporting our company Manufacturing division.

·       Build sets of reusable data products to support multiple digital and analytical solutions across the division.

·       Get insight data are contributing on addressing problems in pharma business.

·       Work with suit of AWS cloud services and other modern cloud technologies and capabilities and participate in the continuous push for new patters and technology.

·       Solve complex technical & business problems.

·       Get understanding of the manufacturing domain of a pharma company.

·       Participate in building and establishing a data strategy for division from ground up.

·       Work in an international team in an agile setup.

 

Skills & Experience: 

·       7 + years of working experience in a relevant IT role.

·       5 + years of working in data analytics or data modeling role.

·       Significant working experience with data analysis and data modeling

·       Ability to leverage CI/CD patterns in data modelling process, knowledge of DBT is a plus.

·       Programing languages/scripting: sql, python

·       Excellent communication and collaboration skills

·       Fluent English

·       Deep knowledge of SQL fur purposes of code-based model building

·       Knowledge of AWS stack (S3, IAM, Glue)

·       Knowledge of Spark is a plus

·       Interest in helping other engineers grow is a plus

 

Current Employees apply HERE

Current Contingent Workers apply HERE

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:

Hybrid

Shift:

Valid Driving License:

Hazardous Material(s):


Required Skills:

Business Intelligence (BI), Database Administration, Data Engineering, Data Management, Data Modeling, Data Visualization, Design Applications, Information Management, Software Development, Software Development Life Cycle (SDLC), System Designs


Preferred Skills:

Job Posting End Date:

05/21/2025

*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.

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