Data Analytics Engineer, Seedtag

• Minimum 3+ years of experience as an Analytics Engineer or similar data-focused role
• Strong understanding of data modeling concepts and principles
• Proven experience designing and implementing data warehouse solutions
• Proficiency in SQL and experience working with relational databases
• In-depth knowledge of dbt and its capabilities in data transformation
• Familiarity with the concept of a semantic layer and its importance in data analysis
• Excellent communication and collaboration skills
• Ability to work independently and manage multiple projects simultaneously

Desirable

• We are offering a Data Analytics Engineer position, to build the global contextual advertising leader
• Design and implement robust data models to support complex ad campaign measurement and analysis
• Leverage your expertise in data warehouse architectures (e.g., Snowflake, Redshift) to ensure efficient data storage, retrieval, and scalability
• Utilize dbt (Data Build Tool) to automate data transformation processes and maintain data quality
• Develop and maintain the semantic layer, acting as a single source of truth for business users to access and understand campaign data
• Collaborate with data scientists, analysts, and business stakeholders to translate business needs into technical requirements
• Build and maintain data pipelines to ingest data from various sources (ad servers, DSPs, etc.)
• Monitor and troubleshoot data quality issues, ensuring the accuracy and consistency of information
• Create and maintain comprehensive data documentation