Software Engineer II, Analytics Operations
Bristol Myers SquibbMatch Score
Against your primary resumeLogin to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Protocol Intelligence
Data-driven signals on your job's competitivenessStrong global brand, mid-level generalist analytics role, and metro Hyderabad location increase candidate competition.
Core cloud data, Spark, and Python skills are transferable across industries despite life-sciences preference.
Explicit 3-5 year requirement plus mandatory data platform and stack skills enforce high shortlisting strictness.
Job Description
Structured overview of role & requirementsAbout This Role
Monitor, support, and maintain PDS data platforms and analytics applications using cloud-native technologies to ensure high availability and reliability.
Troubleshoot and resolve production incidents, drive automation for operational efficiency, and enhance pipeline and React UI applications per business needs.
Collaborate with Analytics Engineering, Cloud teams, and business stakeholders for deployments, monitoring, and continuous operational improvements.
Minimum Requirements
3-5 years of experience in operations and production support, including optimizing supporting processes.
Hands-on experience with AWS Glue, Databricks; proficiency in SQL, SPARK, Python; knowledge of data engineering tools like Airflow.
Familiarity with version control (Git, SVN), Agile development, and cloud infrastructure management.
Preferred educational background in Computer Science, Physics, Math, Pharmaceutical Science, or Engineering.
Ideal Candidate Profile
Experienced in fast-paced operational environments focused on analytics and data platform reliability.
Skilled in both backend data engineering (ETL, pipelines) and frontend (React UI) application development.
Effective collaborator with experience working with global, cross-functional teams, preferably in life sciences or similar domains.