Senior Data Engineer, EF Data and Analytics Product Enablement

Key Skills

Aartificial intelligence, Amazon Athena, AWS, AWS Glue, Cloudera, Data Engineering, Data Lake, Data pipelines, DevOps, Large data sets, Machine learning techniques, MySQL, PostgreSQL, Python Programming, PyTorch, Streaming APIs

Job Description

BMS Hyderabad is an integrated global hub where our work is focused on helping patients prevail over serious diseases by building sustainable and innovative solutions. This important science, technology, and innovation center will support a range of technology and drug development activities that will help us usher in the next wave of innovation.

Desired Candidate Characteristics and Key Responsibilities: 

• Accountable for enhancing and delivering high quality, data products and analytic ready data solutions for Enabling Functions
• Working with stakeholders to define the overall strategy for the organization's data products and new features. This involves understanding business goals, identifying data sources, and determining the appropriate technology stack and making recommendations/ building enhancements.

• Developing and implementing data engineering solutions that support the organization's business needs. This may involve working with various technologies, including data warehouses, data lakes, data marts, and data APIs.
• Understand and collaborate with data architect to maintain data models to support our reporting and analysis needs. 
• Optimize data storage and retrieval to ensure efficient performance and scalability. 
• Implement standard data governance policies and procedures to ensure that data is accurate, consistent, and secure. This includes defining data quality standards, data security protocols, and data privacy policies.
• Implement and maintain security protocols to protect sensitive data. 
• Stay up to date with emerging trends and technologies in data engineering and analytics. 
• Close partnering with the Enterprise Data and Analytics Platform team, other functional data pods and Data Community lead to shape and adopt data and technology strategy.
• Staying up to date with industry trends: Keeping up to date with the latest trends and advancements in data architecture and technology and applying this knowledge to enhance the organization's data systems and processes.
• Serves as the Subject Matter Expert on EF (Enabling Functions) Data & Analytics data asset and product solutions and build knowledge of a select priority data domains.
• Accountable for evaluating enhancements and projects and assessing capacity and prioritization along with onshore and partner teams. 

• 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 

• Prior experience working in an Agile/Product based environment.
• Provides strategic feedback to vendors on service delivery and balances workload with vendor teams. 

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Qualifications & Experience

• 5-7 years of hands-on experience working on implementing and operating data capabilities and innovative data solutions, in a cloud environment. Breadth of experience in technology capabilities that span the full life cycle of data management including data lake houses, master/reference data management, data quality and analytics/AI ML (Machine Learning) is needed.
• At least 5 years’ experience in designing and building complex data solutions. 
• Hands on experience with programming and analytics capabilities using company approved technologies including AWS (Amazon Web Services) Native Services (Glue Studio, Athena, Redshift, Postgres DB etc.), Cloudera Data Platform (CDP).
• programming skills in languages such as Python, Pytorch, etc.
• Experience with SQL and database technologies such as MySQL, PostgreSQL etc. 
• 3-5+ years of experience in data engineering or DevOps environment
• Comfortable working in a dynamic global environment 
• 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 improvements: automating manual processes, optimizing data delivery, supporting in generative AI model development, re-designing infrastructure for greater scalability, etc. 
• Excellent communication and collaboration skills Functional knowledge or prior experience in Enterprise Functions is a plus.

Why You Should Apply

Around the world, we are passionate about making an impact on the lives of patients with serious diseases. Empowered to apply our individual talents and diverse perspectives in an inclusive culture, our shared values of passion, innovation, urgency, accountability, inclusion, and integrity bring out the highest potential of each of our colleagues.

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.

Our company is committed to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace adjustments and ongoing support in their roles. Applicants can request accommodation prior to accepting a job offer. If you require reasonable accommodation in completing this application, or 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.