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Our client is a leading research-based biopharmaceutical company. They apply science and their global resources to deliver innovative therapies that extend and significantly improve lives. Every day, colleagues work across developed and emerging markets to advance wellness, prevention, treatments and cures that challenge the most feared diseases of our time.
ROLE SUMMARY
All over the world, Pfizer colleagues are working together to positively impact health for everyone, everywhere. Each position at Pfizer touches and contributes to the success of our business and our world. That’s why, as one of the global leaders in the biopharmaceutical industry, Pfizer is committed to seeking out inspired new talent who share our core values and mission of making the world a healthier place.
The Enterprise Data Solutions and Engineering (EDSE), a Pfizer Digital organization, is responsible for the development and management of all data and analytics tools and platforms across the enterprise – from global research and development, to manufacturing, to commercial, to patient care across over 100+ countries. One of the team’s top priorities is the advancement of AI/ML enabled analytics and the creation of data solutions that can be leveraged across the enterprise.
As a member of EDSE’s Global Business Services & Enabling Functions Data Solutions & Engineering team, you will help to realize Pfizer Digital strategy on the cloud by designing and deploying analytic solutions, lead high performing teams, and building lasting relationships with our business colleagues. This digital program will produce the data foundation that drives business insights through data science and enterprise BI reporting solutions. This role requires you to provide solution development and operations support for our Regulatory Quality Assurance (RQA) Domains (Audit Planning, Audits Made Easy, RQA Metrics, etc.). It will require you to maintain, enhance and provide operations support of our RQA solutions while leveraging our Data Hub, Dataiku, Snowflake, and data visualization product (Spotfire).
The manager RQA Data Engineer will be responsible for all aspects of the data and analytic platforms supporting the RQA applications. They will help in the pursuit of the Pfizer Digital strategy on the cloud by designing data products. These products are the data foundation that enables business insights through data science and enterprise solutions. You will very well verse in many tool sets such as Angular, Agile Methodology, Dataiku, Snowflake. You will also assist in the enrichment of several existing API Interfaces that are built upon the current Global Supply Data Lake, to develop value added data products that span the areas that encompass RQA.
As the RQA Data Engineer, you will be hands on and have abilities to lead a group of vendors resources, partner with Digital Colleagues, Enterprise Architecture, and Business Unit stakeholders to develop and sustain the RQA data strategy and target data architecture. Data engineers also partner with solution development teams to ensure use case delivery goals are met while adhering to data architecture principles, guidelines, and standards.
Generally, the colleague will also have responsibility to assist in the architect, design and build data models, pipelines and products across various domains to power ML ops platforms, data driven applications and software and enable business intelligence solutions. This role will work with the business unit and digital leadership to understand the growing business needs and strategies where the application of AI and ML can yield new products and services and enhance existing processes.
You will also embody Pfizer’s OWNIT! Culture values. We seize opportunities to think differently, to take risks and be accountable, and to try something new. This means Pfizer values change-oriented behavior, exemplified through an entrepreneurial, confident, and proactive attitude. Pfizer also values tolerance for taking thoughtful risks to achieve greater success. We advocate and drive long-term, aligned strategies that advance our mission and shape our industry. We confront corrosive, self-serving, and mean-spirited behaviors; it’s everyone’s responsibility. We deliver on commitments with speed, decisiveness, and integrity. We invest in candid and constructive debate to ensure each other’s success using straight talk.
ROLE RESPONSIBILITIES
Reporting to the Senior Manager, Finance Sales Procurement Solution Delivery & Engineering, and as the RQA Data Engineer you will be responsible for data modeling, building/enhancing data interfaces, and engineering visualizations with advanced data platforms team to drive digital outcomes.
- Maintain and enhance the design of the existing RQA Cloud Data Lake, Dataiku workflows, interface APIs, Web Apps, and our Spotfire dashboards.
- Manage a team of developers that will deliver technical enhancements within the RQA and Audit Management Domains (Audit Planning, Audits Made Easy [AME], RQA2, etc..).
- Design automated solutions for building, testing, monitoring, and deploying ETL tools.
- Develop internal APIs and DSS data solutions forend-users to power Audit applications and promote connectivity.
- Enhance new systems and tools to enable the teams to consume and understand data more intuitively
- Coordinate with backend engineering team to analyze data to improve the efficiency, and speed of the application as well maintain elevated levels of data quality and data consistency.
- Perform root cause analysis and resolve Level 3 production and data issues
- Create test plans, test scripts and perform data validation
- Tune SQL queries, reports and ETL pipelines
- Build and maintain data dictionary and process documentation
- Present solutions to leadership, management, architects and developers.
- Lead cloud engineering staff, and partner with project managers, and analysts to deliver insights to the business
- Provide hands-on technical and thought leadership across development, product management, operations, and engineering management through effective communication. Actively develop mentoring relationships within or across teams to help others further their careers
- Applies analytical and problem-solving experience with large-scale platforms, infrastructure, and organizations.
BASIC QUALIFICATIONS
- BS/MS degree in Computer Science, Engineering or related field
- Strong Experience in web application development platforms such as Angular, Spring Boot is required
- 5+ years of experience Data warehousing, data modeling, and data transformation is required.
- 5+ years of experience as a Data Engineer / 3+ years of experience as a Data Architect is required.
- Experienced with data preparation and ETL tools (Dataiiku, Informatica, Talend, Alteryx, etc.) is required.
- Deep understanding of Cloud data warehouse solutions (Snowflake, Redshift, Spark, etc.) is required.
- Experience with Software engineering best-practices, including but not limited to version control (Git, TFS, Subversion, etc.), CI/CD (Jenkins, Maven, Gradle, etc.), automated unit testing, Dev Ops is highly beneficial but not required.
- Full stack development using infrastructure cloud services (AWS preferred) and cloud-native tools and design patterns (Containers, Serverless, Docker, etc.) is a plus and Open-Source technologies highly beneficial but not required.
- Experience deploying through a agile methodology and working a SCRUM team is highly beneficial but not required.
- Experience with sourcing and modeling data from application APIs is beneficial but not required
- 5+ years of experience designing complex and inter – dependent data models for analytic, Machine learning use cases.
- 5 or more years of experience with one or more general purpose programming languages, including but not limited to: SQL, Java, Scala, C, C++, C#, Swift/Objective C, Python, or JavaScript
- Deep understanding of AWS Cloud stack (ECC, S3, Redshift) or Google Cloud Platform is a plus
- Architected end-to-end data pipelines with a major cloud stack is a plus
- Experience with Semantic technologies and approaches is a plus.
- Cloud computing, machine learning, text analysis, NLP & Web development experience is a plus
- Knowledge of Graph Databases (Neo4j, Titan, etc.) and query syntax is a plus
