Amazon Data Engineer PV WW 

United States, Washington, Seattle 

188250050

This is a high visibility role, within video content research org in Prime Video Finance, who will focus on supporting marketing measurement work stream. As a Data Engineer, you will be working in one of the world's largest and most complex data warehouse environments.You will design, implement and support scalable data infrastructure solutions to integrate with multi heterogeneous data sources, aggregate and retrieve data in a fast and safe mode, curate data that can be used in reporting, analysis, machine learning models and ad-hoc data requests.You will be exposed to cutting edge AWS big data technologies. You will also have the opportunity to create white papers and build POCs. In this role, you will have the opportunity to build complex, high-performing, and scalable data products.In this role you will help scientists collect the latest worldwide video data, customer segments, and diverse signals of marketing impressions to support scaled forecasting tools. You will be working with a diverse group of economists and machine-learning researchers in a fun-filled working environment on projects like the following:Key job responsibilities
Explore and learn the latest AWS technologies to provide new capabilities and increase efficiencies.Design and build Data products such as data-quality, anomaly detection and data governance.

- 2+ years of data engineering experience
- Experience with SQL
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
- Experience with one or more scripting language (e.g., Python, KornShell)

- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.
- Knowledge of software engineering best practices across the development life cycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations