Data Operations - Engineer

Key Skills

Amazon Elastic Compute Cloud-EC2, Amazon Simple Storage Service (S3), Apache Hive, AWS, Big Data Technology, Data pipelines, JavaScript, LaMDA, Node.js, Operations, Python Programming, R Programming, RDBMS, Scala Programming, SPARK Programming, Streaming APIs

Job Description

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 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.

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. Purpose The candidate will provide development and support activities for pipelines on internally developed platforms like Enterprise Data Lake, Stash and TR&D Hub and technologies that include for example AWS EC2, AWS Lambda, AWS S3, AWS CFT, Modak Nabu, Apache Spark, Hive and Python. The candidate will design and develop data pipelines, implement necessary integration work, and will manage electronic data collection and access, all in accordance with BMS policies and project expectations. The scope of work includes development and testing data pipelines, data cataloging, lifecycle management, data quality assurance, data management (parsing, transformations, extraction), data enrichment through scripting, as well as contributing to solution design. The candidate will be an integral part of a small team focusing exclusively on Research scientific data and will contribute to the Research portfolio of projects. Capabilities, Experience & Qualifications • BS/MS in STEM (Computer Science, Engineering) or a degree in the physical or life sciences with computer science expertise • 2+ years of relevant industry experience, or a strong technical graduate • Experience/expertise in data modeling, data transformations, systems integration, and building pipelines • Experience with modern SQL and NoSQL databases • Proficient with programming languages like Python, Scala, R, JavaScript, NodeJS • Experience with cloud technologies like AWS, Google, or Azure (preferably AWS) • Experience in Linux/Unix scripting • Experience/expertise in the acquisition and management of data • Demonstrated strong teamwork and organizational skills, and outstanding interpersonal skills • Ability to multitask, work independently and communicate effectively • Strong analytical and problem-solving skills • Knowledge of microservices architectures • Experience or training in managing big data • Knowledge of RDBMS or other data cataloging systems • Experience with life sciences Key Accountabilities • Develop data pipelines, data catalogs, data access and provisioning, and data transfers (internal and external) • Develop documentation, APIs, data models, transformation rules etc. to facilitate knowledge of scientific data repositories • Provide technical expertise in the capture and transformation of complex scientific data • Perform metadata management for downstream integration solutions • Contribute to the development of policies, procedures, and best practice methodologies; ensure that data is well governed, quality assured, and policies are followed • Understand the needs of the business and commit to delivering the best user experience.