Manager Digital and Technology, Core Finance Data Engineer
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Job Location:
Monthly Salary:
Posted on:
2 days ago
Vacancies:
1 Vacancy
Job Summary
BASIC QUALIFICATIONS
- Bachelors degree in computer science Information Technology or similar field
- Experience working with onpremises and cloudbased data platforms (e.g. AWS Azure or hybrid environments).
- Experience working with modern cloud data platforms and warehouses such as Snowflake Microsoft Fabric or equivalent technologies.
- Handson experience with relational database technologies including Aurora PostgreSQL Oracle or similar enterprise databases.
- Familiarity with data quality monitoring and operational best practices for production workloads.
- Experience with ETL Tools (AWS Glue Informatica Talend etc.)
- Experience implementing CI/CD pipelines for data workloads using tools such as Git Azure DevOps or GitHub Actions.
- Exposure to AIenabled or automation techniques applied to data engineering (e.g. accelerating analysis improving data quality or supporting scalable processing).
- Ability to produce clear technical documentation and collaborate effectively with crossfunctional stakeholders
- Excellent written and verbal communication skills
- Excellent organizational and time management capabilities
- Strong interpersonal skills in building customer relationships
- Ability to work independently and in a global team setting across time zones.
PREFERRED QUALIFICATIONS
- Exposure to DevOps practices including automation deployment and operational support.
- Working knowledge of Power BI including supporting analytics and reporting use cases.
- Cloud certification or equivalent handson experience with AWS and/or Azure.
- Experience or familiarity with React for building or integrating webbased applications.
- Pharmaceutical life science domain experience
ROLE RESPONSIBILITIES
- Design and Implement data models to support large scale business intelligence reporting
- Drive harmonization of data definitions transformations and reusable components across platforms.
- Identify gaps and improvement opportunities (quality performance reliability) and propose remediation actions.
- Design and build end-to-end data pipelines and curated datasets across onprem and cloud environments.
- Operate and support production workloads with monitoring logging and operational best practices.
- Apply AI where it adds value (e.g. accelerating analysis improving data quality enabling scalable processing).
- Maintain clear technical documentation (data flows specs operational notes) and collaborate with stakeholders to align with standards
- Contribute to CI/CD pipelines and automated strategies.
- Collaborate and partner across high-performing cross-functional software engineering teams
- Partner with stakeholders to translate business needs into technical solutions
- Model ownership behaviors and accountability for team outcomes.
Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.
Information & Business TechRequired Experience:
Manager
Key Skills
- User Interface
- Competitive Analysis
- New Technologies
- Business developments
- Communication
- Content Management System
- Market Research
- Internet
- Youtube
- Digital Assets
- Digital strategy
- Social Channels
- Digital Forensics
- A/B Testing
- Analytics
About Company
Erfahren Sie mehr über uns als forschendes und produzierendes Pharmaunternehmen: Von unserem Beitrag zum medizinischen Fortschritt bis zur nachhaltigen Produktion.
