Highly Skilled Data Engineer for Enterprise Finance Solutions
7 days ago
As a Senior Big Data Engineer on our team, you will be responsible for designing and developing scalable big data pipelines to ingest, transform, and publish large volumes of financial data efficiently. You will collaborate with finance and business stakeholders to understand requirements and translate them into technical specifications.
A Day in the Life
Our primary customer is our CFO, and your day-to-day activities will revolve around solving data engineering problems for transforming our ever-growing financial data. You will work with other financial teams to understand their business problems and deliver scalable technical solutions that enhance productivity, improve financial accuracy, reduce waste, and improve work-life harmony for a large and rapidly growing finance user base.
About the Team
GFT Data Services team is the data engineering team within Corp FP&A at Amazon. We enjoy a unique vantage point into everything happening within Amazon, and this role would be part of a team responsible for Company's enterprise-wide financial planning & analytics environment. The data flowing through our platform directly contributes to decision-making by our CFO and all levels of finance leadership.
What We're Looking For
We are looking for an experienced Big Data Engineer with 3+ years of experience in data engineering. You should have expertise in big data technologies such as Hadoop, Hive, Spark, EMR, and experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets. Experience with data modeling, warehousing, and building ETL pipelines is also required. Additionally, you should have experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS, and experience with SQL.
Salary Range
The estimated salary range for this position is $118,900/year - $205,600/year based on various US geographic markets.
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