Data Engineer
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Job Description
We are looking for a skilled Data Engineer with 4+ years of experience to design, build, and maintain scalable data pipelines and platforms using Azure and Databricks. The ideal candidate will work closely with analytics, data science, and business teams to deliver reliable, high-performance data solutions that enable data-driven decision-making.
The ideal candidate has strong experience working with code repositories, building data pipelines in Databricks, and designing scalable data models to support evolving analytics needs in cross-functional environments.
Responsibilities
• Design, develop, and optimize end-to-end data pipelines using Azure Databricks
• Refactor legacy code to simplify maintenance, updates, and reuse across multiple use cases.
• Design and build modular, reusable code components to support multiple journeys and reduce duplication.
• Consolidate key KPIs, metrics, and attributes into standardized data structures to enable flexible journey views.
• Build and maintain scalable data models to support current and future journey analytics use cases.
• Ensure data quality, performance, and reliability across data pipelines and analytics datasets.
• Collaborate with analytics and engineering teams to improve data processes and architecture.
Requirements
Function: Marketing
Experience Level: Mid-Senior Level