Offers “Amazon”

Expires soon Amazon

Manager, Data Engineering

  • Seattle (King County)
  • Design / Civil engineering / Industrial engineering

Job description

DESCRIPTION

It's still Day 1 at Amazon Media Group. If you want to be part of a team that is disrupting the existing advertising and big data analytics industries, look no further! We are looking for a passionate, results oriented, and innovative data engineering manager to architect and develop data warehousing and analytics solutions that tie together Amazon retail, CRM systems, and advertising platform data streams to accelerate our advertising business.

You should be an autonomous self-starter who loves building teams, developing people, and who thrives on implementing creative approaches and dealing with the intricate complexity of large data sets. You should love partnering with internal customers across different functions to build robust analytics solutions. You should be analytical and creative, and you don't quit.

Key functions of this role:
· Develop in-depth knowledge of data systems spanning Amazon retail, Sales CRM and marketing systems, and ad serving platforms.
· Use your knowledge to architect data warehousing and BI solutions that solve problems that cut across Amazon business functions including Sales, Marketing, and Finance.
· Interface with business customers, gathering requirements and delivering complete Data Engineering, Data Warehousing, and BI solutions.
· Manage and develop a team of Data and BI Engineers; providing mentorship, guidance, and clear paths for career development.
· Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL (Redshift, Oracle) and ability to use a major programming (e.g. Java/C) and/or a scripting language (Perl, Unix shell) to process data for modeling
· Act as a product owner: leading customer utilization research projects to better understand how your customers are using your product.
· Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.

Desired profile

BASIC QUALIFICATIONS

Basic Qualifications
· Bachelor's degree in Math/Statistics/Engineering or other equivalent quantitative discipline
· Management experience
· 3+ years in relevant experience as data engineer, data scientist, software engineer, business intelligence engineer, or equivalent
· Demonstrated development and application of predictive statistical procedures in languages such as R, SAS, SPS
· Experience data modeling and transformation of large scale data sources using SQL, Hadoop, Spark, Hive, EMR, or other Big Data technologies
· Knowledge of scripting for automation (e.g. Python, Perl, Ruby)
· Strong active listener with solid written and verbal communication skills
· Ability to work cross-functionally, building and maintaining trust with internal stakeholders

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