Sr. Data Engineer, AWS WWFE - Analytics, Reporting, Operations and Governance

$139,100 - $240,500/Yr

Amazon - Seattle, WA

Full-time - Mid Level

Seattle, WA

Sporting Goods, Hobby, Musical Instrument, Book, and Miscellaneous Retailers

About the position

The Sr. Data Engineer at AWS WWFE will play a crucial role in developing the next generation of enablement data management solutions. This position involves collaborating with business leaders to identify data engineering requirements, leading the design of reporting and data management solutions, and mentoring junior engineers. The role emphasizes building scalable data integration pipelines and improving data architecture to support business intelligence efforts.

Responsibilities

• Collaborate with WWFE's business leaders and economists to identify data engineering requirements
• Lead the technical design of WWFE's reporting, analysis and data management solutions
• Collaborate with AWS's 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 (ETL) 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 AWS stack or open source
• Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation

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
• Experience with SQL

Nice-to-haves

• 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 & 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, Google Cloud Platform)
• Expertise with NoSQL, OODB, Document, Vector and Relational Databases
• Deep experience leading and influencing the data strategy of your team or organization

Benefits

• Flexible schedule
• Mentorship and career growth opportunities
• Diverse and inclusive workplace culture
• Work-life balance initiatives