Mid Data Engineer / Data Modeler
Core
Designing and developing data models for analytical solutions and enterprise platforms, including dimensional, analytical, and tabular models.
Role type
Mid-level data engineer / data modeler
Builds
Data models for Data Warehouse, Data Lake, and Lakehouse architectures
Domain
Data engineering and analytics
Deliverable
production ML models
Required skills
Data modeling, Dimensional modeling, Analytical modeling, Tabular modeling, Data Warehouse design, Data Lake design, Lakehouse design, Big Data architecture, Oracle, Databricks, Azure, Python, Apache Spark, Erwin, SSIS, SSAS, SSRS, Power Automate, Jira, Scrum, Kanban
Preferred skills
Modern data architectures, Financial domain experience, Data governance, Azure/AWS/Databricks certifications, Digital transformation projects
Technologies
Erwin, Databricks, Azure, AWS, GCP, Oracle, SQL Server, MySQL, MongoDB, Cosmos DB, Apache Spark, Hive, HDFS, Power BI, Jira, Linux, Windows, Android, SSIS, SSAS, SSRS, Power Automate
Responsibilities
Design and develop data models for analytical solutions; Create dimensional, analytical, and tabular models using Erwin; Design data structures for Data Lake and Lakehouse architectures; Participate in Big Data layer design; Build and document tactical models for information flow; Manipulate, transform, and validate data from multiple sources; Collaborate with architecture, engineering, and business teams; Promote data governance and quality best practices
Seniority
Mid-level, hands-on IC
