Senior Data Engineer - Data & ML Engineering

Working with Us Challenging. 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. 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. Key Responsibilities * The Data Engineer will be responsible for designing, building, and maintaining the ETL pipelines, data products, evolution of the data products, and utilize the most suitable data architecture required for our organization's data needs. * Responsible for delivering high quality, data products and analytic ready data solution. * Work with an end-to-end ownership mindset, innovate and drive initiatives through completion. * Develop and maintain data models to support our reporting and analysis needs. * Optimize data storage and retrieval to ensure efficient performance and scalability. * Collaborate with data architects, data analysts and data scientists to understand their data needs and ensure that the data infrastructure supports their requirements. * Ensure data quality and integrity through data validation and testing. * Implement and maintain security protocols to protect sensitive data. * Stay up-to-date with emerging trends and technologies in data engineering and analytics. * Closely partner with the Enterprise Data and Analytics Platform team, other functional data teams and Data Community lead to shape and adopt data and technology strategy. * Serves as the Subject Matter Expert on Data & Analytics Solutions. * Knowledgeable in evolving trends in Data platforms and Product based implementation. * Has end-to-end ownership mindset in driving initiatives through completion. * Comfortable working in a fast-paced environment with minimal oversight. * Mentors other team members effectively to unlock full potential. * Prior experience working in an Agile/Product based environment. Qualifications & Experience * 5-8 years of hands-on experience working on implementing and operating data capabilities and cutting-edge data solutions, preferably in a cloud environment. Breadth of experience in technology capabilities that span the full life cycle of data management including data lakehouses, master/reference data management, data quality and analytics/AI ML is needed. * Expertise in Databricks – SME grade. * Expertise in designing and building real time data ingestion data pipelines in AWS * Expertise in CloudFormation . * Developing and using Custom Resources in CFTs . * Expertise in developing GitHub Workflows & integrating GitHub workflows with AWS. * Expertise with using boto3 apis for Lambda, S3, Glue, Crawlers, Data Zone (preferred). * Expert in building APIs using AWS services . * In-depth knowledge and hands-on experience with ASW Glue services and AWS Data engineering ecosystem. * Hands-on experience developing and delivering data, ETL solutions with some of the technologies like AWS data services (Redshift, Athena, lakeformation, etc.), Cloudera Data Platform, Tableau labs is a plus. * 5+ years of experience in data engineering or software development. * Create and maintain optimal data pipeline architecture, assemble large, complex data sets that meet functional / non-functional business requirements. * Identify, design, and implement internal process...