Senior Analytics Engineer
Bristol Myers Squibb (company site, opens in a new tab)6+ yrsHyderabadOn-siteDirect career pageEst. 22–32 LPA
Posted 12h ago
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Job description
Structured overview of role & requirements
About This Role
- Design, build, and own scalable analytics-layer transformations and semantic models on Databricks Lakehouse to enable trusted, self-serve commercial analytics products.
- Drive technical decisions on Databricks and AWS architecture, including performance tuning, scalability, and cost optimization across the analytics stack.
- Mentor junior developers through hands-on pairing and code reviews, and partner with business stakeholders to translate requirements into well-modeled datasets and governed analytics products.
Minimum Requirements
- 6+ years of experience in analytics engineering or related roles with deep expertise in Databricks, data modeling, and AWS.
- Strong hands-on experience with Databricks (including Delta Lake, Unity Catalog), dimensional data modeling (star/snowflake schema, SCDs), and AWS services (S3, IAM, Glue, Lambda).
- Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, Statistics/Mathematics, or related field (or equivalent practical experience).
- Work experience required: 6+ years in relevant analytics/data engineering roles.
Ideal Candidate Profile
- Experienced in architecting and optimizing large-scale commercial datasets (e.g., sales, claims, patient data) with advanced data modeling and lakehouse concepts.
- Demonstrated ability to mentor and coach junior engineers through hands-on collaboration and guide best practices in Databricks and AWS environments.
- Comfortable communicating complex technical trade-offs to business stakeholders and leading technical design discussions in cross-functional teams.