Bristol Myers Squibb
SeniorData&DevOpsEngineer
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“Senior Data & DevOps Engineer at Bristol Myers Squibb. Skills: Data Engineering, DevOps, AWS, Python. Design, build, and maintain ETL pipelines. Maintain data products”
Industry & Context.
Analytical and problem-solving skills
What They're Looking For.
Must Have
5+ years of hands-on experience working on implementing and operating data capabilities and cutting-edge data solutions, Expertise in designing and building real time data ingestion data pipelines in AWS, Expertise in Cloud Formation, 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, Expert in building APIs using AWS services, In-depth knowledge and hands-on experience with ASW Glue services and AWS Data engineering ecosystem, 5+ years of experience in data engineering or software development, programming skills in languages such as Python, R, PyTorch, PySpark, Pandas, Scala, Experience with SQL and database technologies such as MySQL, PostgreSQL, Presto, Experience with cloud-based data technologies such as AWS, Azure, or Google Cloud Platform, analytical and problem-solving skills, Excellent communication and collaboration skills, Experience and expertise in establishing agile and product-oriented teams that work effectively with teams in US and other global BMS site
Nice to Have
Breadth of experience in technology capabilities that the full life cycle of data management including data lakehouses, master/reference data management, data quality and analytics/AI ML is added advantage, 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, Functional knowledge or prior experience in Lifesciences Research and Development domain is a plus
What You'll Do.
and maintain ETL pipelines
Maintain data products
Utilize suitable data architecture
Deliver high quality data products
Deliver analytic ready data solutions
Develop and maintain data models
Optimize data storage and retrieval
Ensure data quality and integrity
Implement and maintain security protocols
Stay up to date with trends
Shape and adopt data strategy
Serve as Subject Matter Expert
Drive initiatives through completion
Work in fast-paced environment
How You'll Work.
Team & Collaboration
Collaborate with data architects, data analysts and data scientists; Partner with Enterprise Data and Analytics Platform team; Partner with other functional data teams; Partner with Data Community lead; Work effectively with teams in US and other global BMS site
Communication Scope
Excellent communication skills
Process & Methodology
End-to-end ownership mindset, Drive initiatives through completion
Full Job Description
**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](https://careers.bms.com/working-with-us). As a Data Engineer based out of our BMS Hyderabad you are part of the Data Platform team along with supporting the larger Data Engineering community, that delivers data and analytics capabilities across different IT functional domains. The ideal candidate will have a strong background in data engineering, DataOps, cloud native services, and will be comfortable working with both structured and unstructured data. **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. * Col
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