Data Engineer, FinAuto, FinAuto - GREF Tech
Description For Data Engineer, FinAuto, FinAuto - GREF Tech
Amazon's Finance Automation team is seeking a talented Data Engineer to join their GREF Technology team, focusing on building high-performance and globally scalable reporting and analytics infrastructure. This role sits at the intersection of Amazon's Global Real Estate and Facilities (GREF) organization and cutting-edge AWS cloud services.
The position offers an exciting opportunity to lead the implementation of analytical data infrastructure that will guide critical decision-making in areas such as space planning, design and construction, corporate security, travel, transportation, lease, and facilities management. You'll be part of a team committed to building the next generation reporting and analytics platform to support Amazon's rapidly growing workforce.
As a Data Engineer, you'll work with large datasets, design and implement scalable ETL processes, and deliver data services that directly influence both daily operations and strategic initiatives. The role requires strong technical expertise in data engineering, big data technologies, and cloud platforms, particularly AWS services like Redshift, S3, AWS Glue, EMR, and Kinesis.
You'll have the opportunity to interact with leaders across Finance Automation and GREF, providing technical leadership on high-impact cross-functional initiatives. The role offers exposure to multiple organizations and requires strong skills in data integrity, test design, analysis, validation, and documentation.
This is an excellent opportunity for someone who wants to make a significant impact at scale, working with cutting-edge technologies while solving complex problems in corporate real estate and facilities management. The position offers competitive compensation, comprehensive benefits, and the chance to work with some of the best minds in the industry while building solutions that will shape the future of Amazon's workplace infrastructure.
Responsibilities For Data Engineer, FinAuto, FinAuto - GREF Tech
- Act as business-facing subject matter expert for data storage and feature instrumentation
- Drive data architecture across large datasets
- Perform exploratory data analysis
- Implement new data pipelines
- Design and implement scalable ETL processes in AWS platform
- Provide technical leadership on high-impact cross-functional initiatives
- Manage end-to-end execution and delivery across various work streams
Requirements For Data Engineer, FinAuto, FinAuto - GREF Tech
- 3+ 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 (Python, Java, Scala, or NodeJS)
- Experience building/operating highly available, distributed systems of data extraction
- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
Benefits For Data Engineer, FinAuto, FinAuto - GREF Tech
- Full range of medical benefits
- Financial benefits
- Equity compensation available
- Sign-on payments available
- Total compensation package
