Data Operations Engineer, EF Data

Key Skills

Agile methodologies, AWS, AWS Glue, Continuous Integration & Continuous Delivery - CI/CD, Data Analytics, Data science techniques, Operations, Python Programming, SLA, Tableau, User support and Troubleshooting

Job Description

Desired Candidate Characteristics: 

• Ability to understand the needs of the business and commitment to deliver the best user experience and adoption 
• Accountable for Operations and enhancements for Enabling Functions Data pipelines-lead incident and problem management, plan, and coordinate upgrades, and ensure solutions are reliable and meeting SLAs
• Accountable for assessing capacity and prioritization along with onshore and partner teams for operations, support, enhancements
• Monitor, Restart, Repair the Ingestion, Refinement, and/or Transformation Jobs as needed and collaborate with partners and/or other team members.
• Develop knowledge articles, run books or templates and processes to prevent typical job failures and self-heal Ingestion, Refinement, and/or Transformation jobs across Enabling Functions
• Have a continuous improvement and learning mindset and open to bring innovation and automation best practices
• 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  
• Collaborate with the Enterprise Data and Analytics Platform team, other functional data pods and Data Community lead to shape and adopt data and technology strategy
• Prior experience working in an Agile/Product based environment is a plus
• Provides strategic feedback to vendors on service delivery and balances workload with vendor teams  

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 Qualifications & Experience

• Requires thorough knowledge of the principles and concepts of a discipline and developed knowledge of other related disciplines, typically gained through a university degree and 4-6 years of experience.
• Hands-on experience with configuration and maintenance of Data engineering pipelines using (Cloudera Data Platform, AWS Data Ecosystem), AWS Glue Studio, Python, etc.),
• Experience with Data Science Platforms (Domino Data Lab) and Tableau is a plus
• Thorough understanding of and working experience in Cloud eco-system, in particular AWS 
• Experience with CFT/Terraform, Infrastructure as Code (IaC) and configuration languages. 
• Agile software development. 
• Works predominately within established procedures. Actively participates in troubleshooting of routine problems. Acts as a functional mentor to more junior team members. Experience with implementing improvements in areas such as maintainability, scalability, availability, extensibility, and security 
• Experience implementing, maintaining, and troubleshooting continuous integration/continuous delivery (CI/CD) 
• Working knowledge of ITSM best practices and tools (e.g., ServiceNow) 
• Working knowledge of information security best practices 

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 Careers

With 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

Physical presence at the BMS worksite or physical presence in the field is a necessary job function of this role, which the Company deems critical to collaboration, innovation, productivity, employee well-being and engagement, and it enhances the Company culture.