Data Solutions Engineer II , Enabling Functions Data
Bristol Myers SquibbMatch Score
Against your primary resumeLogin to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Protocol Intelligence
Data-driven signals on your job's competitivenessLog in to see why each signal reads the way it does.
Job Description
Structured overview of role & requirementsAbout 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.