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Bristol Myers Squibb
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Senior Software Engineer

Senior Software Engineer

Bristol Myers Squibb

6 - 11 years

30 - 35 Lacs

hyderabad

Posted:15 hours ago| Platform:

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Skills Required

computer science architecture analytical pharma clinical trials predictive modeling oracle business intelligence sql python

Work Mode

Work from Office

Job Type

Full Time

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 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/working-with-us

The Senior Software Engineer of Analytics Engineering provides hands-on technical expertise to develop, deploy, and maintain both core data models and core data layer
This role is ideal for someone who thrives on building robust, scalable, and well-documented data models and pipelines, while also enabling self-service analytics across the organization

We are seeking a highly skilled Analytical Engineer to join our team
This role bridges the gap between data engineering and data analytics, focusing on transforming raw data into structured, business-ready datasets The ideal candidate will be responsible for designing, developing, and implementing analytical workflows, ensuring that data is clean, well-modeled, and optimized for business intelligence and decision-making This role requires strong technical expertise in data transformation, modeling, and pipeline optimization (preferably using DBT) Additionally, a successful candidate is an excellent communicator who can effectively explain complex technical information to a wide variety of stakeholders

Key Responsibilities and Major Duties

Collaborate with the business to gather requirements and deliver data-products to enable data-informed decision-making

As a member of the team, develop a centralized data-layer to deliver data-products at scale to the business

Use ELT framework to transform raw or semi-structured data into a contextualized data model (preferably using DBT), proposing architectural solutions (preferably AWS) to drive efficiency

Partner with AI and ML teams to deliver the data skeleton for AI-enabled internal tools

Work within DBT to deliver documented, tested, and DRY ( don t-repeat-yourself ) code

Follow analytical lifecycle process and quality frameworks to deliver accurate data to internal consumers on-time

Focus on innovative solutions to increase speed-to-delivery and accelerate business decision-making

Independently gather business requirements, establish measurable outcomes, and create analytical product plan translating complexity for various stakeholders

Qualifications / Degree / Certification / Licensure

Computer Science, Physics, Math, Data Science, Pharmaceutical Science, or Engineering area of study preferred

Minimum of 6 years of analytical engineering, data modeling or a similar role

Hands-on experience with dbt

Proficiency with SQL, SPARK and Python

Knowledge of data engineering tools (AWS, Airflow) and visualization tools (Tableau, Power BI, Looker)

Experience scripting (e
g R)

Experience with version control (e
g Git, SVN) and Agile development

Proven analytical and problem-solving ability

Expertise gathering requirements to understand business needs and define technical solutions

Excellent communications and presentation skills
Ability to explain complex analyses and outcomes to both technical and non-technical stakeholders

Familiarity with AI, ML, predictive modeling a plus

Familiarity with our toolkit desired: work information process tools (JIRA, Confluence, ServiceNow, MS suites); data-related tools (Oracle, Redshift, PostgreSQL, CDP Impala, Athena)

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Senior Software Engineer