Data Engineer
Core
Design and build scalable data pipelines and analytics-ready data models using Azure, Databricks, and Snowflake for BI and reporting consumption.
Role type
Senior hands-on Data Engineer
Builds
Scalable data pipelines, Medallion architecture layers, and Star Schema data models
Domain
Financial services data engineering on cloud platforms
Deliverable
production ML models | product features
Required skills
PySpark, Python, SQL (advanced), Azure Data Platform, Databricks, Snowflake, Star Schema design, Data Lakehouse concepts
Preferred skills
Azure Synapse, SSIS migration, Data governance tools, Power BI/Tableau integration
Technologies
Azure, Databricks, Snowflake, PySpark, SQL, Azure DevOps, ADLS, Blob
Responsibilities
Design and build scalable data pipelines using Azure and Databricks; Develop and maintain Databricks notebooks and jobs using PySpark; Design and implement Star Schema data models for analytics; Optimize Databricks jobs, Spark performance, and SQL queries; Monitor pipelines and resolve failures; Translate business requirements into technical data solutions
Seniority
Senior, hands-on IC