Data Engineer II, AWS Fintech

$118,900 - $205,600/Yr

Amazon - Seattle, WA

posted about 2 months ago

Full-time - Mid Level
Seattle, WA
10,001+ employees
Sporting Goods, Hobby, Musical Instrument, Book, and Miscellaneous Retailers

About the position

Do you want to build a cutting-edge highly scalable data platform using Amazon Web Services (AWS) technologies? How about building this platform to support the fast growth of AWS itself? Is problem solving through teamwork in your DNA? Do you like the idea of seeing how your work impacts the bigger picture? Answer yes to any of these and you'll fit right in here at Amazon Web Services. AWS Fintech is seeking a Data Engineer (DE) with a passion for developing data architecture and tools to support self-service data analytics. You will play a critical role supporting AWS Finance BI and building solutions to support data needs in one of the world's largest and most complex data environments. In this role, you will have ownership of end-to-end development of data engineering solutions to complex questions and you'll play an integral role in strategic decision-making. The successful candidate will be a self-starter comfortable with ambiguity, with strong attention to detail, and the ability to work in a fast-paced environment. You will build and manage analytical resources on AWS and support content-related projects. You should have deep expertise in the design, creation, management, and business use of extremely large datasets. Above all you should be passionate about working with huge data sets and eager to learn new solutions to answer business questions and drive change.

Responsibilities

  • Design, implement, and support an analytical platform providing ad hoc access to large datasets and computing power
  • Manage AWS resources including EC2, RDS, Redshift, Lambda, etc.
  • Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL and AWS big data technologies
  • Build robust and scalable data integration (ETL) pipelines using SQL, Python, and Spark
  • Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation
  • Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers
  • Work closely with BI engineers, software developers, product managers, and other business stakeholders to solve unique business problems
  • Leverage new cloud architecture and data engineering patterns to ingest, transform, and store data
  • Build and deliver high quality data solutions to support analysts, engineers, and data scientists.

Requirements

  • 3+ years of data engineering experience
  • Experience with data modeling, warehousing, and building ETL pipelines
  • Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
  • Experience with SQL

Nice-to-haves

  • 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

  • Full range of medical benefits
  • Financial benefits including equity and sign-on payments
  • Comprehensive employee benefits package
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