Data Engineer, Data : Science Engineering, AWS Marketing, Data : Science Engineering, AWS Marketing

About the role

The AWS Marketing Data: AI Science, Analytics and Engineering (D:SE) team owns analytics, reporting and self-service tooling, data representation, machine learning models, measurement, valuation and economics products for AWS Marketing. We are the central data and science organization, and we work with different teams in AWS Marketing to drive better measurement, increase experimentation velocity, improve data access and analytical self-service, deploy and test ML-powered targeting models, drive higher economic value, and empower strategic decisions with business deep dives. We enable other analytics, BI, and science teams across AWS Marketing through mechanisms, partnerships and scalable tools. We work globally as a central team and establish standards, benchmarks, and best practices for use throughout AWS Marketing.

Responsibilities

• Design, implement, and support a platform providing ad-hoc access to large datasets
• Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL
• Build robust and scalable data integration (ETL) pipelines using SQL, Python and AWS services such as Data Pipelines, Glue
• Implement data structures using best practices in data modeling, ETL/ELT processes, and SQL/Redshift
• Interface with business customers, gathering requirements and delivering complete reporting solutions
• Build and deliver high quality datasets to support business analyst and customer reporting needs
• Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers

Requirements

• Bachelor's degree
• 3+ years of data engineering experience
• 2+ years of developing and operating large-scale data structures for business intelligence analytics (using ETL/ELT processes)
• 2+ years of developing and operating large-scale data structures for business intelligence analytics using OLAP technologies
• 2+ years of developing and operating large-scale data structures for business intelligence analytics using data modeling
• 2+ years of developing and operating large-scale data structures for business intelligence analytics using SQL

Preferred Qualifications

• Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
• Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)

Benefits

Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance, 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

Pay

The base salary range for this position is listed below. USA, WA, Seattle - 132,100.00 - 178,800.00 USD annually.

Schedule

Not specified.