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Data Architect

1 week ago

Beaverton, Oregon, United States Aquent Full time
About the Role

We are seeking a highly skilled Senior Data Engineer to join our Consumer Data Engineering team. As a key member of this team, you will play a crucial role in designing, building, and maintaining large-scale data pipelines using cutting-edge technologies.

This is an exceptional opportunity to contribute to a high-impact team and make a tangible difference in a dynamic and innovative environment.

Responsibilities
  • Design and develop large-scale data pipelines using cloud-based technologies, Spark, and Python.
  • Develop and optimize Spark applications and ETL pipelines for performance and scalability.
  • Collaborate with product managers and analysts to design and implement data models and data warehousing solutions.
  • Work with cross-functional teams to integrate data systems with other applications and services.
  • Ensure data quality, integrity, and security across all data systems.
  • Develop and maintain unit test cases for data pipelines and applications.
  • Implement CI/CD pipelines for automated testing and deployment.
  • Stay up-to-date with industry trends and emerging technologies in big data and cloud computing.

Requirements
  • At least 5 years of experience in data engineering, big data, or a related field.
  • Proficiency in Spark, including Spark Core, Spark SQL, and Spark Streaming.
  • Experience with cloud-based data processing platforms.
  • Strong Python skills, including data structures, algorithms, and software design patterns.
  • Experience optimizing Spark applications and ETL pipelines for performance and scalability.
  • Good understanding of data modeling, data warehousing, and data governance.
  • Strong understanding of software development principles, including unit testing and test-driven development.
  • Excellent communication and collaboration skills.