Data Engineering Manager

Data Engineering Manager

Amazon
5-8 years
Not Specified

Job Description


DESCRIPTION
Over 3MM Sellers in 17 countries (and growing) list their products for sale to consumers on the Amazon.com Marketplace. Sellers are a critical part of Amazon's ecosystem to deliver on our vision of offering the earth's largest selection and lowest prices. Would you like to join a team working on something even bigger This is a unique opportunity to be part of the International Seller Services (ISS).
We are a team of DEs who support Applied Scientists, Data Scientist, and Economists who experiment, research, and turn machine/deep learning and AI research into great products for our customers.
We are looking for an experienced Data Engineering Manager to help manage existing data and ML engineers, implement new technologies and tooling to further enable science and analytics, as well as help drive scalable data sharing practices. In this role you will split your time between hands on development and managerial activities. You will own data environments, integrate with new technologies, and oversee the development of new data pipelines that support key ML models that provide recommendations to our sellers. You will gather requirements through direct interaction with business, science, as well as software development teams. You will track the performance of our resources and related capabilities, constantly evolving our offering in order to scale our capability set with the growth of the business and needs of our customers.
The ideal candidate will have outstanding communication skills, proven data infrastructure design and implementation capabilities, strong business acumen, and an innate drive to deliver results. He/she will be a self-starter, comfortable with ambiguity and will enjoy working in a fast-paced dynamic environment.
BASIC QUALIFICATIONS
. 5+ years of experience as a Data Engineer or in a similar role
. Experience managing a data or BI team
. Experience with data modeling, data warehousing, and building ETL pipelines
. Experience leading and influencing the data strategy of your team or organization
. Experience in SQL
. Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field
. 5+ Years of Data Warehouse Experience with Oracle, Redshift, PostgreSQL
. Coding proficiency in at least one modern programming language (Python, Ruby, Scala, Java, etc.)
. Experience mentoring and managing other Data and ML Engineers, ensuring data engineering best practices are being followed
. Experience with hardware provisioning, forecasting hardware usage, and managing to a budget
. Proven track record of sharing outcomes through written communication, including an ability to effectively communicate with both business and technical teams
. Linux/UNIX
. Experience with security standards like symmetric and asymmetric encryption, virtual private clouds, IP management, LDAP authentication, and other methods
PREFERRED QUALIFICATIONS
. Extensive experience working with AWS with a strong understanding of Redshift, EMR, Athena, Aurora, DynamoDB, Kinesis, Lambda, S3, EC2, etc
. Experience in maintaining data warehouse systems and working on large scale data transformation using EMR, Hadoop, Hive, or other Big Data technologies
. Experience working with both supervised and unsupervised machine learning models
. Experience working with Orchestration tools such as Apache Airflow
. Experience working with Amazon Sage maker (AWS Machine Learning Platform)
. Experience in operating multilevel abstraction when training and deploying machine learning models
. Knowledge of Advanced Statistics and implementing ML models.

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