Within Amazon’s Corporate Financial Planning & Analysis team (FP&A), we enjoy a unique vantage point into everything happening within Amazon. As part of that, this role would be part of a team that is responsible for Amazon’s enterprise-wide financial planning & analytics environment.
Are you excited about working directly to empower users?
Love to get your hands dirty and solve challenging technical issues?
Key job responsibilities
Experience in functional/programming languages such as Python, Spark, Scala and Analytics .
-Knowledge of distributed systems as it pertains to data storage and computing .
-Deep knowledge of various AWS big data technologies .
-Experience successfully mentoring junior data and software engineers
This opportunity is a great fit for someone with data & software development skills who is eager for an opportunity to gain skills in other aspects of building & maintaining an enterprise-scale data & analytics software system.
The data flowing through our platform directly contributes to decision-making by our CFO and all levels of finance leadership. If you’re passionate about building tools that enhance productivity, improve financial accuracy, reduce waste, and improve work-life harmony for a large and rapidly growing finance user base, come join us!
- 5+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with SQL
- 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)
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