Data Engineering Analyst
Core
Design and oversee data solutions for collection, transformation, loading, and storage; configure semantic layers to ensure data performance, quality, and security.
Role type
Data Engineering Analyst
Builds
Data lakes, warehouses, and semantic layers for business intelligence applications
Domain
Business Intelligence and Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, Python, data transformation, data storage, system automation, DevOps, technical support
Preferred skills
Cloud analytic platforms (Azure, AWS, GCP, Snowflake), SAP, Power BI components (Power Query, DAX, Dataflow, Gateway)
Technologies
AWS, Azure, Business Intelligence, Cloud, DAX, DevOps, Fabric, GCP, Looker, Power BI, Power Query, Python, SAP, SQL, Snowflake, Tableau
Responsibilities
Design and oversee data solutions for collection, transformation, loading, and storage; Configure and maintain semantic layers; Engage in DevOps, maintenance, technical support, and improvements; Collaborate with business analysts and IT stakeholders to understand business processes and requirements
Seniority
Mid-level, hands-on IC