Description

Key Skills: Azure Databricks, Azure, Azure Data Lake, Data Engineering, Media Domain, Taxonomy

Roles & Responsibilities

• Design and develop data engineering solutions using Azure Databricks.
• Build and manage data pipelines to move data across different media sources.
• Work with Azure Data Lake and other Azure data services.
• Process, transform, and integrate large volumes of media and AdTech data.
• Work closely with business and media teams to understand data requirements.
• Develop and maintain data models, taxonomies, and data workflows.
• Ensure data quality, accuracy, and consistency across media platforms.
• Troubleshoot data pipeline and integration issues.
• Collaborate with cross-functional teams and communicate technical solutions to business stakeholders.
• Support streaming data and other modern data engineering initiatives.

Experience Required

• 8-13 years of experience in Data Engineering.
• Strong hands-on experience with Azure Databricks, Azure, and Azure Data Lake.
• Strong knowledge of data integration and data pipeline development.
• Experience working with data across multiple media sources and platforms.
• Strong understanding of the media domain and media data.
• Experience with taxonomy and data classification.
• Good business-facing communication and stakeholder management skills.

Good to Have

• Experience with Claravine for taxonomy management.
• Streaming data experience.
• Experience with Adverity.
• Experience with media platforms or AdTech data.
• Knowledge of Azure data engineering tools and services.

Education

Bachelor's/Master's degree in Computer Science, Information Technology, Engineering, or a related field

Key Skills

Education

Any Graduate