Amazon Sr Data Engineer Customer Experience Americas Service Analytics 

United States, Washington, Seattle 

597645199

On the Americas CS Analytics team, you will be surrounded by people that are exceptionally talented, bright, and driven, and believe that world class data infrastructure is critical to our success. As a Data Engineer of Americas CS, you will be responsible to design, implement, and support key datasets that provides structured and timely access to actionable business information with the needs of stakeholders always in view. You will collaborate with analysts, data engineers, business intelligence engineers, and software development engineers across Amazon to produce complete data solutions. You will help drive the architecture and technology choices that enable a world-class user experience. You will develop a broad range of new big data technologies to solve business problems and know when, how, and which to use and which not to use. You will encourage the organization to adopt next-generation data architecture strategies, proposing both data flows and storage solutions. You will continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers. You will participate in developing technical strategy for turning data into actionable information and develop complex queries for ad hoc requests and projects, as well as ongoing reporting. You will optimize the performance of business-critical queries and dealing with ETL job-related issues. This is a high impact role with goals that directly impacts the bottom line of the business.Key job responsibilities
· Build end-to-end data pipelines to ingest and transform data from different types of data sources and systems; from traditional ETL pipelines to event data streams and AWS Services
· Utilize data from disparate data sources to build meaningful datasets for analytics, reporting and ML use cases
· Evaluate and implement various big-data technologies and solutions (e.g. Redshift, Hive/EMR, Spark, SNS, SQS, Kinesis) to optimize processing of extremely large datasets
· Understand and analyze business processes, logical data models and relational database implementations
· Write high performing and optimized SQL queries
· Execute research projects, and generate practical results and recommendations
· Design and implement automated data processing solutions and data quality controlsA day in the life1. Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan

- 5+ 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
- Bachelor's degree

- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience operating large data warehouses
- Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence