Data Solutions Engineer II , Enabling Functions Data
Bristol Myers Squibb (company site, opens in a new tab)3–5 yrsHyderabadOn-siteDirect career pageEst. 12–22 LPA
Posted on 7 Sept
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Job description
Structured overview of role & requirements
About This Role
- Develop and maintain AWS cloud-native data lakes and ecosystems supporting enterprise functions.
- Build and manage scalable data pipelines using Databricks Lakehouse architecture, Delta Lake, Unity Catalog, and Databricks Workflows.
- Optimize Databricks development including PySpark/SQL coding, cluster/job configuration, and performance tuning for production-grade solutions.
Minimum Requirements
- 3-5 years experience in IT developing AWS cloud-native data lakes and ecosystems with some production support experience.
- Proficient in AWS native services (Glue Studio, Athena, Redshift, Postgres DB) and programming skills in Python and Spark.
- Experience with SQL and databases such as MySQL, PostgreSQL; knowledge of data security and privacy best practices.
- 1-2 years experience in onshore-offshore delivery model; functional knowledge of enterprise functions is a plus.
Ideal Candidate Profile
- Hands-on expertise in Databricks Lakehouse architecture and optimization for large data pipelines.
- Strong programming background with Python, PySpark, and SQL in cloud environments, especially AWS.
- Experience operating in a global, dynamic delivery setting with good communication and collaboration skills.