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Data Engineer, AWS Fintech

Amazon Web Services (AWS) is the world's leading cloud computing platform.
$91,200 - $185,000
Data
Mid-Level Software Engineer
In-Person
5,000+ Employees
1+ year of experience
AI · Finance

Description For Data Engineer, AWS Fintech

AWS Fintech is seeking a talented Data Engineer to join their team and build a cutting-edge, highly scalable data platform using AWS technologies. This role offers an exciting opportunity to support the rapid growth of AWS itself while working with one of the world's largest and most complex data environments.

As a Data Engineer at AWS Fintech, you'll be responsible for developing data architecture and tools to support self-service data analytics. You'll have end-to-end ownership of data engineering solutions and play a crucial role in strategic decision-making. The position involves working with huge datasets and requires expertise in designing, creating, and managing extremely large datasets.

You'll be working closely with BI engineers, software developers, product managers, and other stakeholders to solve unique business problems. Your responsibilities will include building and managing analytical resources on AWS, creating robust ETL pipelines using SQL, Python, and Spark, and continuously improving reporting and analysis processes.

The ideal candidate should be comfortable with ambiguity, possess strong attention to detail, and thrive in a fast-paced environment. You'll have the opportunity to work with cutting-edge AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, and Lambda.

This role offers competitive compensation ranging from $91,200 to $185,000 per year, depending on location and experience, plus additional benefits including medical insurance and 401k. Join Amazon's innovative team and help shape the future of financial technology through data engineering excellence.

Last updated a day ago

Responsibilities For Data Engineer, AWS Fintech

  • Design, implement, and support an analytical platform providing ad hoc access to large datasets and computing power
  • Managing AWS resources including EC2, RDS, Redshift, Lambda, and etc.
  • Interface with other technology teams to extract, transform, and load data from various sources
  • Build robust and scalable data integration (ETL) pipelines using SQL, Python and Spark
  • Recognize and adopt best practices in reporting and analysis
  • Continually improve ongoing reporting and analysis processes

Requirements For Data Engineer, AWS Fintech

Python
  • Bachelor's degree
  • 1+ years of data engineering experience
  • 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, Scala)

Benefits For Data Engineer, AWS Fintech

Medical Insurance
401k
  • Medical Insurance
  • 401k

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