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Software Engineer I, Data Operations
7 months ago
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 rich in diversity. Take your career farther than you thought possible.
Position Summary
The GPS Data & Analytics Software Engineer role is accountable for developing data solutions and operations support of the Enterprise data lake. The role will be accountable for developing the pipelines for the data enablement projects, production/application support and enhancements, and support data operations activities. Additional responsibilities include data analysis, data operations process and tools, data cataloguing, and developing data SME skills in Global Product Development and Supply – Data and Analytics Enablement organization.
Position Responsibilities*
Key Responsibilities:
The Data Engineer will be responsible for designing, building, and maintaining the data products, evolution of the data products, and utilize the most suitable data architecture required for our organization's data needs to support GPS Responsible for delivering high quality, data products and analytic ready data solutions Develop and maintain data models to support our reporting and analysis needs. Develop ad-hoc analytic solutions from solution design to testing, deployment, and full lifecycle management. 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 Work with data/analytic technologies such as MS Excel Macro, Tableau, Cloudera Data Platform (CDP), Domino, Python and AWS/Azure/MS Cloud Products, chatGPT Participate in the analysis, design, build, manage, and operate lifecycle of the enterprise data lake and analytics focused digital capabilities Develop cloud-based (AWS) data pipelines to facilitate data processing and analysis Define data operations support (example: Access management) and experience with the supporting tools Build e-2-e data ETL pipelines from data integration -> data processing -> data integration -> visualization Proficient in Python, Spark, SQL, AWS Redshift/DBs, S3, Glue/Glue-Studio, Athena, AI. Good to have any Metadata platform (Like CDP-Impala or Okera), Neo4J, IAM, CFT & other Native AWS Service familiarity with Domino/data lake principles. Familiarity and experience with Cloud infrastructure management and work closely with the Cloud engineering team Participate in effort and cost estimations when required Partner with other data, platform, and cloud teams to identify opportunities for continuous improvements Architect and develop data solutions according to legal and company guidelines Assess system performance and recommend improvements Responsible for maintaining of data acquisition/operational focused capabilities including: Data Catalog; User Access Request/Tracking; Data Use RequestDesired Experience
Required:
2-3 years of experience in information technology field in developing AWS cloud native data lakes and ecosystems Deeper understanding of cloud technologies preferably AWS and related services in delivering and supporting data and analytics solutions/data lakes Proficient in Python, Spark, SQL, AWS Redshift/DBs, S3, Glue/Glue-Studio, Athena, AI. 2-3 years of experience with operations and production support, and optimizing the supporting process Atleast 1-2 years of experience in an onshore offshore delivery model Solid programming skills in Python and Spark and strong proficiency in Cloud – AWS Knowledge of data security and privacy best practicesIdeal Candidates Would Also Have:
Prior experience in global life sciences especially in the GPS functional area will be a plus Experience working internationally with a globally dispersed team including diverse stakeholders and management of offshore technical development team(s) Strong communication and presentation skillsOther Qualifications:
Bachelor’s degree in Computer Science, Information Systems, Computer Engineering or equivalent is preferred#HYDIT
