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Amazon Senior Data Engineer PV Core Tech WW 
United States, California 
727608658

04.09.2024
DESCRIPTION

Key job responsibilities
* Lead the architecture, design, and development of Prime Video's data, metrics, and reporting platform.
* Architect and implement new and automated Business Intelligence solutions, including big data and new analytical capabilities.
* Partner with business leaders to drive strategy and prioritize projects and feature sets.
* Write and review use cases and drive the development process from design to release.
* Provide technical leadership and mentoring for a team of software engineers.
* Own design and execution of end-to-end projects.
* Establish key relationships with Amazon business units.
* Implement data quality checks and monitoring procedures.
* Automate data processing tasks.
* Collaborate with cross-functional teams to understand data needs and design solutions.
* Document data pipelines and processes.
* Stay up-to-date with the latest trends and technologies in data engineering.

BASIC QUALIFICATIONS

- 7+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with SQL
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
- Experience mentoring team members on best practices
- Experience with MPP databases such as Amazon Redshift


PREFERRED QUALIFICATIONS

- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience operating large data warehouses
- Bachelor's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent
- Experience building data products incrementally and integrating and managing data sets from multiple sources
- Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets
- Experience communicating with users, other technical teams, and management to collect requirements, describe data modeling decisions and data engineering strategy