Data And AI Platform Engineer I Commercialization

Bristol Myers Squibb; Hyderabad; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Bristol Myers Squibb is seeking an entry-level Data & AI Platform Engineer I in Hyderabad to help build and support the Databricks and Unity Catalog platform infrastructure that underpins data products. You will assist with cloud engineering tasks, platform configuration, and access controls under senior guidance.

The role offers exposure to Databricks administration and cloud infrastructure practices, with a clear path to grow into progressively more senior platform engineering responsibilities

Qualifications

• Proficiency in SQL and Python for basic platform automation and scripting.
• Exposure to Databricks platform administration and Unity Catalog.
• Foundational understanding of cloud infrastructure (AWS) and IAM concepts.
• Familiarity with infrastructure-as-code or configuration management concepts.
• Git/version control and willingness to learn CI/CD practices.

Responsibilities

• Support Databricks and Unity Catalog configuration and operation under guidance.
• Assist cloud engineering tasks for platform provisioning and monitoring.
• Coordinate with Enterprise IT for systems integration and feature enablement.
• Help implement access controls, monitoring, and security for the Databricks environment.
• Assist in troubleshooting platform-level issues affecting pipelines.

Skills

SQL

Python

Databricks

Unity Catalog

AWS

IAM

Git

CI/CD

Tools

Databricks

Unity Catalog

Delta Lake

AWS

Git

Job description

Job Description

At Bristol Myers Squibb, our employees often ask, "Who are you working for?"-a question that fuels collaboration, accountability, and urgency in our work. Our purpose-driven culture inspires us to discover, develop, and deliver innovative medicines to prevail over serious diseases. We offer uniquely interesting and meaningful work, opportunities for growth, and a supportive environment that values inclusion, wellbeing, flexibility, and comprehensive benefits. This is work that transforms the lives of patients, and the careers of those who do it.

Position Summary

The Commercial Data & AI HYD team is seeking a Data & AI Platform Engineer I to help build and support the Databricks and Unity Catalog platform infrastructure underpinning the team's data products.

The successful candidate will support cloud engineering tasks for the platform, help maintain platform configuration in line with enterprise architecture standards, and assist with access controls, monitoring, and basic troubleshooting, working under the guidance of senior platform engineers on the team.

This is an early-career role that offers strong exposure to Databricks platform administration and cloud infrastructure practices, with a clear path to grow into progressively more senior platform engineering responsibilities over time.

Key Responsibilities

• Support the configuration and operation of Databricks and Unity Catalog platform components, including workspace, cluster, and access configuration, under senior guidance.
• Assist with cloud engineering tasks for the platform, including basic provisioning and monitoring of underlying cloud infrastructure.
• Help coordinate with Enterprise IT on systems integration and feature enablement, supporting rollout of new platform capabilities to the team.
• Support platform reliability and security by helping implement access controls, monitoring, and configuration management for the Databricks environment.
• Assist in troubleshooting platform-level issues affecting pipeline execution, working with data engineers and senior platform engineers to isolate root causes.
• Support validation of newly migrated infrastructure against performance and reliability requirements before cutover to production use.
• Help document platform configuration, access patterns, and operational runbooks to support consistent operations across the team.
• Participate in code reviews and follow established engineering practices for version control and basic testing.
• Apply data governance and secure data handling practices, including access controls and protection of sensitive data.

Skills & Competencies

• Working proficiency in SQL and Python for basic platform automation and configuration scripting.
• Exposure to Databricks platform administration (workspace configuration, clusters, jobs, Unity Catalog) and a foundational understanding of Delta Lake concepts.
• Basic understanding of cloud infrastructure fundamentals (e.g., AWS storage, compute, networking, and IAM concepts).
• Understanding of access control and security considerations for a shared data platform handling sensitive commercial pharma data.
• Familiarity with infrastructure-as-code or configuration management concepts.
• Working knowledge of Git/version control and a willingness to learn CI/CD practices.