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

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: careers.bms.com/working-with-us .Bristol Myers Squibb IrelandBristol Myers Squibb has been in operation in Ireland since 1964, employing over 650 people across a range of activities and business units.Located in Dublin, Cruiserath Biologics Campus, a one billion Multi-Product Cell Culture Biologics Manufacturing facility plays a central role in the Global Product Development and Supply (GPS) network as the company's first European biologics manufacturing facility. This state of the art facility will produce multiple therapies for the company's growing biologics portfolio.Global Biologics Laboratory (GBL) responsible for the release testing of Biologics Drug product for the network, is also based on the Cruiserath Biologics Campus.BMS Cruiserath has been awarded Biopharma Company of the Year 2019 in the Irish Pharma Industry Awards and is certified as a Great Place to Work since 2017, including as a Great Place to Work for Women in 2020, 2021 and 2022.Position SummaryWe 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 plusWhy you should apply• You will help patients in their fight against serious diseases• You will be part of a company that encourages excellence and innovation, respects diversity, develops leaders and values its employees• You'll get a competitive salary and a great benefits package including an annual bonus, pension contribution, family medical assurance, 27 day annual leave, life assurance and on-site gym#LI- HybridIf 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 ProtocolBMS 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 adastaffingsupport@bms.com . Visit careers.bms.com/ eeo -accessibility 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: https://careers.bms.com/california-residents/Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.
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What You Should Know About Principal Data Engineer, MS&T Digital Strategy and Process Optimization, Bristol Myers Squibb

At Bristol Myers Squibb, we're on the lookout for a Principal Data Engineer to join our dynamic Digital Strategy and Process Optimization team! Located in Chesterfield Township, NJ, this role is where innovation meets the heart of biopharma. Imagine designing and maintaining manufacturing data assets that push the boundaries of real-time process monitoring and control. If you’re passionate about harnessing the power of data to create meaningful solutions, this could be the perfect fit for you! As a Principal Data Engineer, you’ll work alongside a diverse team, developing high-quality datasets that will enable advanced process modeling and analytics. Your expertise in data engineering will shine as you optimize existing solutions and collaborate with the Data & Supply Technology Excellence (DSTE) team to shape impactful data strategies. We value creativity and collaboration, so you’ll have the chance to mentor fellow engineers and lead innovations that make a difference. With a strong emphasis on work-life balance, we offer competitive benefits that let you thrive both personally and professionally. If you want to play a vital role in transforming patient lives through science, don't miss this opportunity at Bristol Myers Squibb!

Frequently Asked Questions (FAQs) for Principal Data Engineer, MS&T Digital Strategy and Process Optimization Role at Bristol Myers Squibb
What are the responsibilities of a Principal Data Engineer at Bristol Myers Squibb?

As a Principal Data Engineer at Bristol Myers Squibb, you'll be responsible for designing, building, and maintaining manufacturing data assets. Your work will focus on enabling rapid investigation resolution and developing advanced multivariate models for real-time process monitoring and control. You'll collaborate closely with your team to implement data engineering solutions that create high-quality, contextualized datasets, optimize existing solutions, and guide offshore teams in maintaining effective data pipelines.

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What qualifications are needed to apply for the Principal Data Engineer position at Bristol Myers Squibb?

To qualify for the Principal Data Engineer role at Bristol Myers Squibb, candidates should possess a minimum of a Bachelor's degree in computer science, information systems, or a related field, along with approximately 9 years of relevant experience—4 years if holding a Ph.D. Additionally, advanced knowledge of programming languages such as Python, hands-on experience with cloud-based data solutions, and familiarity with data processing systems like Apache Spark are essential for excelling in this role.

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How does the Principal Data Engineer at Bristol Myers Squibb contribute to patient care?

The Principal Data Engineer at Bristol Myers Squibb plays a crucial role in transforming patient care by developing data-driven solutions that enhance biopharmaceutical manufacturing processes. By ensuring high-quality data assets and enabling advanced analytics, this position directly supports the development of lifesaving therapies. Your engineering expertise will help streamline operations, thereby enabling quicker investigation resolutions that ultimately impact the successful delivery of vital medicines to patients.

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What kind of technology and tools will a Principal Data Engineer use at Bristol Myers Squibb?

In the role of Principal Data Engineer at Bristol Myers Squibb, you'll work with a cutting-edge technology stack that includes AWS services (like S3, Glue, Redshift), Cloudera Data Platform, and tools for workflow orchestration such as Apache Airflow and dbt. Additionally, familiarity with containerization technologies like Docker and Kubernetes, alongside skills in data modeling and validation tools, will be essential for effective performance in this position.

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What are the career development opportunities for a Principal Data Engineer at Bristol Myers Squibb?

At Bristol Myers Squibb, career development is a priority. As a Principal Data Engineer, you will have access to mentorship programs, professional growth training, and the opportunity to lead innovative projects. The culture fosters collaboration and encourages taking on new responsibilities, which can help you advance your career steadily. The emphasis on diversity and inclusion within teams also creates an environment ripe for learning and exchanging ideas, supporting your personal and career goals.

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Common Interview Questions for Principal Data Engineer, MS&T Digital Strategy and Process Optimization
Can you describe your experience with data engineering tools used in biopharma?

When answering this question, highlight specific tools and platforms you've used in previous roles. Discuss your experience with data warehousing, ETL processes, and any particular challenges you've faced within the biopharma context. Show how your expertise helps streamline operations and improve data quality, which aligns with Bristol Myers Squibb’s mission.

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How do you ensure the quality and integrity of data in your projects?

Outline your approach to data quality assurance, mentioning specific techniques like data validation methods or tools you’ve used, such as Great Expectations or Pandas Profiler. Stress the importance of maintaining data accuracy and integrity, particularly in the context of healthcare and the impact it can have on patient care.

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What software engineering principles do you incorporate into your data engineering practice?

Discuss your familiarity with key software engineering principles like version control, testing, and CI/CD pipelines. Provide examples of how you've integrated these principles into your data engineering projects to enhance efficiency and deliver high-quality solutions at Bristol Myers Squibb or similar environments.

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Describe a time when you had to collaborate with cross-functional teams.

Share a specific experience where you worked closely with members from other teams, like IT, analytics, or biopharma operations. Highlight your collaborative approach, communication strategies, and how this cooperation led to a successful outcome or resolved a complex issue.

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How do you stay current with advancements in data engineering and analytics?

Explain your commitment to continuous learning by mentioning resources you utilize, such as industry conferences, online courses, or professional networks. Detailing how you apply emerging trends or technologies to your work can demonstrate your proactive approach to professional development.

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What strategies do you use to mentor junior data engineers?

Talk about your mentoring philosophy, how you assess the strengths and areas for improvement of junior engineers, and describe specific methods you’ve employed to support their career growth, such as structured training or one-on-one coaching.

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Can you explain the importance of data governance in biopharma?

Discuss the critical role of data governance in maintaining compliance, data quality, and security in the biopharmaceutical industry. Provide examples of governance frameworks or best practices you’ve implemented in past roles that ensure adherence to company and regulatory standards.

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How do you approach feature engineering for machine learning models?

When discussing feature engineering, detail your process in identifying relevant features, transforming raw data, and working with subject-matter experts to ensure that the models are grounded in practical relevance, especially for biopharma applications.

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What is your approach to handling large datasets?

Explain your experience with distributed processing frameworks like Apache Spark or AWS tools that facilitate managing large-scale data. Discuss specific strategies or optimizations you've made to improve performance, such as partitioning or caching to enhance efficiency.

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How would you optimize an existing data pipeline at Bristol Myers Squibb?

Outline your methodology for analyzing the current pipeline's performance, identifying bottlenecks, and implementing software engineering principles to enhance speed and scalability. Provide examples of a previous success to illustrate your capability in this area.

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Bristol Myers Squibb is a global biopharmaceutical company whose mission is to discover, develop and deliver innovative medicines that help patients prevail over serious diseases.

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Full-time, hybrid
DATE POSTED
December 22, 2024

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