Data Solutions Engineer II , Enabling Functions Data
Bristol Myers Squibb (company site, opens in a new tab)3–5 yrsHyderabadOn-siteDirect career pageEst. 12–20 LPA
Posted on 7 Sept
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Job description
Structured overview of role & requirements
About This Role
- Develop and support AWS cloud-native data lakes and data ecosystems using services like Glue Studio, Athena, Redshift, and PostgreSQL.
- Build and optimize scalable data pipelines in Databricks using PySpark/SQL, including cluster and job configuration and performance tuning.
- Work within an onshore-offshore delivery model and contribute to improving team processes and knowledge sharing.
Minimum Requirements
- 3-5 years of IT experience with AWS cloud-native data lake development and production support.
- Strong programming skills in Python, Spark, and experience with AWS services such as Glue Studio, Athena, Redshift, PostgreSQL/MySQL.
- At least 1-2 years experience working in an onshore-offshore delivery model.
- Experience with Databricks Lakehouse architecture, Delta Lake, Unity Catalog, Databricks Workflows, and data security/privacy best practices.
Ideal Candidate Profile
- Demonstrates strong cloud engineering skills with hands-on experience in Databricks and AWS data services in complex global environments.
- Experienced in production-grade data pipeline development and optimization with a focus on performance tuning and scalability.
- Has functional knowledge or prior experience in Enterprise Functions and excels in improving team processes and collaboration across global delivery models.