Data Scientist
Core
Building and operating scalable data pipelines and products using Databricks and Azure Data Factory.
Role type
Data Engineer / Data Scientist (DataOps focus)
Builds
Production data pipelines, data products, and optimized data infrastructure
Domain
Cloud data engineering (Azure, Databricks)
Deliverable
production ML models | infrastructure
Required skills
Databricks (Python, Spark SQL, Lakehouse), Azure Data Factory, SQL/NoSQL data modeling, performance tuning, DataOps practices (versioning, testing, automated deployments), SLA/SLO definition
Preferred skills
Declarative Pipelines, Lakeflow, reusable template creation
Technologies
Databricks, Python, Spark SQL, Lakeflow, Azure Data Factory, SQL, NoSQL
Responsibilities
Collaborate on building maintainable data pipelines; Operate Databricks pipelines and workflows; Integrate and optimize databases; Ensure quality through testing and monitoring; Manage pipeline costs and performance; Establish data standards and documentation
Seniority
Mid-level, hands-on IC
