Principal Data Engineer, MS&T Digital Strategy and Process Optimization

Company: Disability Solutions
Location: New Brunswick
Posted on: November 1, 2024

Job Description:

Working with UsChallenging. Meaningful. Life-changing. Those aren't words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You'll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams rich in diversity. Take your career farther than you thought possible.Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more: .Position SummaryAt BMS, digital innovation and Information Technology are central to our vision of transforming patients' lives through science. To accelerate our ability to innovate and guarantee supply to our patients around the world, we must unleash the power of technology. We are committed to being at the forefront of transforming the way medicine is made by harnessing the power of computer and data science, artificial intelligence, and other technologies to promote robust products and processes, faster decision making, and more efficient manufacturing and supply.We are seeking an experienced and highly motivated data engineer to join the Digital Strategy and Process Optimization team within the Manufacturing Sciences & Technology (MS&T) organization. In this role, the Principal Data Engineer will be responsible for designing, building, and maintaining manufacturing data assets and data products to enable rapid investigation resolution and advanced multivariate model development for real-time process monitoring and control.The ideal candidate will have exceptional background in data engineering (including software engineering principles), data systems, and data governance and will be comfortable working with both structured and unstructured data. Experience in Biopharma manufacturing processes and data types is a plus, but not required.If you want an exciting and rewarding career that is meaningful and directly helps deliver lifesaving medicines to patients, consider joining our diverse team!Key Responsibilities

• Work as a member of the MS&T Digital Strategy and Process Optimization team to develop and implement data engineering solutions that deliver high-quality, contextualized datasets as an enabler of advanced process modelling and other analytics
• Design and establish a scalable framework for engineering new features and processing modular datasets across different subject areas into modelling-ready data
• Optimize or redesign existing data engineering solutions to improve efficiency, velocity, and/or scalability, specifically by incorporating software engineering principles
• Collaborate with Data & Supply Technology Excellence (DSTE) team within GPS IT to shape data and technology strategy and drive towards synergistic outcomes
• Devise and implement data engineering best practices across the team with a focus on short-term deliverables and strategic capabilities
• Partner with and guide offshore data partner team who provides support in implementing, maintaining, and supporting data engineering pipeline
• Mentor fellow Data Engineers where required
• Leverage the latest advances in data engineering and analytics to design innovative solutions
• Learn new technologies and lead proof-of-concepts to further innovate and optimize data engineering approaches
• Acquire and maintain thorough understanding of internal and external manufacturing data landscape, including enterprise and site systems, data warehouses, and data lakesQualifications & Experience
  • Expected 9 years, 4 years with Ph.D., of experience in data engineering or DevOps environment
  • Minimum Bachelor's degree in computer science, information systems, computer engineering, or equivalent experience
  • Advanced knowledge of Python or similar data engineering focused programming language
  • Hands-on experience implementing and operating cloud-based data ingestion, integration, transformation, storage, and virtualization solutions using company approved technologies such as AWS (Amazon Web Services) native services (S3, Glue, Athena, Redshift, RDS, Aurora, Lambda, SageMaker, EMR, CodeBuild, etc.), Cloudera Data Platform (CDP), and Domino
  • In-depth experience with distributed processing systems like Apache Spark
  • Experience in DataOps workflow orchestration tools such as Apache Airflow, dbt, Dagster, etc.
  • Deep experience and knowledge of:
    • Software engineering principles: code versioning, testing (definition of unit tests, integration tests), setting up CI/CD pipelines in collaboration with DevOps teams, experience with Docker containers and kubernetes, experience developing or interacting with APIs
    • Data quality and validation principles: experience with libraries like great-expectations, pandera, pydantic, pandas profiler
    • Data architecture principles: data modeling, SQL query optimization, data warehouse design patterns
    • Security principles: data encryption, access control, authentication and authorization
    • Team management skills: strong track record of leading teams in the technical development of analytical solutions
    • Experience integrating with Spotfire or other visual analytics platforms like Tableau
    • Deep experience in definition and implementation of feature engineering
    • Good experience with agile/scrum development processes and concepts and with leveraging project management tools like Jira and Confluence
    • Experience managing multiple priorities and working in fast-paced, constantly evolving environment with a variety of cross-functional teams
    • Evaluates complex issues through analytical thinking and previous experience to consider short- and long-term implications and interdependencies
    • Excellent interpersonal, collaborative, team building, and communication skills to ensure effective collaborations within matrix teams. Demonstrated performance against cooperation principles and enterprise mindset.
    • Experience working in life sciences/biopharmaceutical industry is a plus If you come across a role that intrigues you but doesn't perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career. Uniquely Interesting Work, Life-changing CareersWith a single vision as inspiring as Transforming patients' lives through science--- , every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in an inclusive culture, promoting diversity in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues.On-site Protocol BMS has a diverse occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role: Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function. BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to . Visit to access our complete Equal Employment Opportunity statement. BMS cares about your well-being and the well-being of our staff, customers, patients, and communities. As a result, the Company strongly recommends that all employees be fully vaccinated for Covid-19 and keep up to date with Covid-19 boosters. BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area.If you live in or expect to work from Los Angeles County if hired for this position, please visit this page for important additional information: Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.

Keywords: Disability Solutions, Greenwich , Principal Data Engineer, MS&T Digital Strategy and Process Optimization, Engineering , New Brunswick, Connecticut