Senior Data Engineer, AWS WWFE

3 days ago


Seattle, Washington, United States AmazonWebServices Full time
About the Role

We are seeking a highly skilled Senior Data Engineer to join our WWFE team at Amazon Web Services. As a key member of our organization, you will be responsible for designing and implementing data management solutions that enable our sales force to succeed.

Key Responsibilities
  • Collaborate with business leaders and economists to identify data engineering requirements
  • Lead the technical design of reporting, analysis, and data management solutions
  • Collaborate with the Business Technology & Solutions team to leverage best practices and partner on solution designs
  • Lead and coach junior data engineers on best practices
  • Build robust and scalable data integration pipelines using SQL/EMR/Python
  • Work with other AWS Region Services Business Intelligence Teams to integrate into existing data warehouses and plan for scaling into data lake solutions
  • Design, develop, and maintain scaled, automated, user-friendly systems that support Business Intelligence Engineers to build reports and dashboards
  • Improve overall data architecture using innovative approaches and new processes from the AWS stack or open source
  • Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation
About the Team

Our team is diverse and experienced, with a strong focus on innovation and collaboration. We value work-life balance and offer a flexible schedule to support our employees' needs. We are committed to creating a culture of inclusion and diversity, and we encourage candidates from all backgrounds to apply.

Requirements
  • 7+ years of data engineering, database engineering, business intelligence, or business analytics experience
  • Experience with data modeling, warehousing, and building ETL pipelines
  • Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
  • Experience mentoring team members on best practices
  • Bachelor's degree in computer science, engineering, analytics, mathematics, statistics, IT, or equivalent
Preferred Qualifications
  • Experience operating large data warehouses
  • Experience with MPP databases such as Amazon Redshift
  • Experience with big data technologies such as Hadoop, Hive, Spark, EMR
  • Knowledge of professional software engineering and best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence
  • Expertise with cloud infrastructure services (e.g., AWS, Azure, GCP)
  • Expertise with NoSQL, OODB, Document, Vector, and Relational Databases
  • Deep experience leading and influencing the data strategy of your team or organization

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