Senior Data Engineer (AdTech)

AI overview

Collaborate with cross-functional teams to design and optimize data architecture while leading modernizations and ensuring cost-effective data workflows using AWS and Snowflake.
  • Maintain and enhance existing data processes, ensuring reliability, performance, and scalability 
  • Improve and support Python-based services and contribute to the development of new ones 
  • Design, implement, and optimize scalable data architecture 
  • Drive system reliability and performance improvements across all data workflows 
  • Oversee and execute data process modernization, including the introduction of new tools and technologies 
  • Manage data flow between local storage, AWS, and Snowflake to ensure performance and cost efficiency 
  • Lead and support the migration of data pipelines and services to Snowflake 
  • Work with and improve the data orchestration layer (Airflow), ensuring stable operation, scalability, and alignment with future platform needs 
  • Collaborate with cross-functional teams to ensure architectural alignment and best practices adoption
  • 5+ year proficiency in Python for data processing and platform development 
  • Advanced knowledge of SQL and the ability to write efficient and complex queries 
  • Strong hands-on experience with Snowflake 
  • Proficiency in DBT for data transformation and modeling 
  • Practical experience working with Airflow to orchestrate of data workflows 
  • Upper-Intermediate level of English 

PERSONAL PROFILE 

  • Excellent communication, collaboration, and problem-solving skills, with the ability to work effectively with both technical and non-technical stakeholders 
  • Proven ability to work independently, take ownership of projects, and drive initiatives to completion 

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