Senior Analytics Engineer
Bristol Myers Squibb (company site, opens in a new tab)6+ yrsHyderabadHybridDirect career pageEst. 20–35 LPA
Posted 20h ago
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Job description
Structured overview of role & requirements
About This Role
- Design, build, and own scalable analytics-layer transformations and dimensional data models on Databricks Lakehouse for commercial analytics.
- Lead performance tuning and cost optimization of Databricks workloads and manage AWS-based data architecture supporting the Lakehouse.
- Mentor junior developers and collaborate with business stakeholders to translate requirements into trusted, governed analytics products.
Minimum Requirements
- 6+ years of hands-on experience in analytics engineering, data engineering, or related roles with deep expertise in Databricks, data modeling, and AWS.
- Strong expertise in dimensional data modeling (star/snowflake schemas, SCD handling) and building analytics-ready datasets.
- Hands-on experience with Databricks Lakehouse features including Delta Lake and Unity Catalog, plus AWS services like S3, IAM, Glue, and Lambda in production.
- Bachelor's or Master's degree in Computer Science, Engineering, Statistics, or related field (or equivalent practical experience).
Ideal Candidate Profile
- Experienced engineering professional comfortable making architectural decisions and setting best practices for Databricks and AWS analytics environments.
- Proven mentor capable of hands-on coaching and pairing with junior developers while collaborating closely with cross-functional teams including analysts and data scientists.
- Skilled at communicating complex technical trade-offs and data governance issues clearly to non-technical business stakeholders to drive alignment and adoption.