Engineering Manager - Data & Analytics

• Lead and manage a team of junior and mid-level business intelligence engineers, data engineers, and software development engineers
• Establish team business practices, roles and responsibilities, and professional development opportunities
• Build and maintain the data infrastructure to answer business questions using data engineering best practices
• Define data engineering processes that leverage AWS services to improve accessibility, redundancy, data integrity, cost, and storage requirements
• Collaborate with Data Engineers, Business Intelligence Engineers, Data Scientists, Business Analysts, and Product or Program Managers to understand business and technical requirements and make decisions that help make products and programs smoother
• Interface with other technology and data engineering teams to extract, transform, and load data from a wide variety of data sources using AWS data technologies
• Lead the technical design and implementation of the data infrastructure
• Design and manage data audit, quality, and reconciliation processes in collaboration with various stakeholders

Technologies:

• AWS
• Business Intelligence
• Data Warehouse
• ETL
• Flow
• Hardware
• Support
• Machine Learning
• Matlab
• Network
• Python
• SAS
• SQL
• Security
• Cloud

More:

We are Amazons Network Flow and Technologies (NFT) team, building data solutions that drive operational efficiency and enhance the customer experience across our global fulfillment network. We work across the supply chain to optimize the network while minimizing complexity and reducing variation, and we provide comprehensive reporting, attribution, and forecasting so stakeholders can understand what happened, why it happened, and what will happen next. We operate in a collaborative, empowering environment where cross-functional teamwork, data-driven innovation, and professional growth are highly valued. We offer the autonomy to lead initiatives, the support to grow, and the opportunity to make a meaningful impact on key business decisions. Amazon is an equal opportunities employer with an inclusive culture and a strong commitment to privacy, security, and workplace accommodations.

• Experience in data warehouse technical architectures, data modeling, infrastructure components, ETL/ELT, reporting and analytic tools and environments, data structures, and hands-on SQL coding
• Experience with R, Python, Weka, SAS, Matlab, or other statistical or machine learning software
• Experience working directly with business stakeholders to translate between data and business needs
• Experience leading and influencing the BI strategy of a team or organization
• Experience working in a very large data warehousing environment
• Experience managing a data or BI team
• Knowledge of engineering practices and patterns for the full software, hardware, and networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and live site operations
• Experience managing, analyzing, and communicating results to senior leadership