Data Engineer, Payroll 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, such as Python, Java, Scala, or NodeJS
- Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets
- Experience as a data engineer or related specialty (e.g., software engineer, business intelligence engineer, data scientist) with a track record of manipulating, processing, and extracting value from large datasets
- Experience working on and delivering end to end projects independently
- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience providing technical leadership and mentoring other engineers for best practices on data engineering
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions

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Are you interested in building high-performance and globally scalable reporting and analytics infrastructure that support Amazon's Global Payroll organization’s current and future growth? Are you seeking an environment where you can drive innovation leveraging the scalability and innovation with Amazon's AWS cloud services? Do you have a passion for ensuring a positive customer experience? This is the opportunity for you.

Payroll Technology at Amazon is all about enabling our business to perform at scale as efficiently as possible with no defects. As Amazon's workforce grows, both in size and geography, Amazon's payroll operations become increasingly complex, and our customers are asked to do more with less. Process can only get them so far, and that's where we come in with technology solutions to integrate and automate systems, detect defects before payment, and provide insights.

As an DE II on our team, you will lead the implementation of the analytical data infrastructure that will guide the decision making in identifying the potential defects with-in the payroll cycle. Aggregating the disparate data models, building data sets, and vending the data sets.

The team is committed to building the next generation reporting and analytics platform to support Amazon's rapidly growing workforce and improve employee experience. Our projects span multiple organizations and require coordination of data integrity, test design, analysis, validation, and documentation.

- You will act as the business-facing subject matter expert for data storage and feature instrumentation, with the responsibility of managing end-to-end execution and delivery across various work streams.
- You will help drive data architecture across many large datasets, perform exploratory data analysis, implement new data pipelines that feed into or from critical data systems at Amazon.
- You will be responsible for designing and implementing scalable ETL processes in the AWS platform to support the rapidly growing and dynamic business demand for data, and use it to deliver the data as service which will have an immediate influence on day-to-day decision making and strategic initiatives.
- You will hold a highly visible role that requires interaction with leaders across Payroll Tech and Payroll Operations' teams.
- You will provide technical leadership on high-impact cross-functional initiatives