Data Engineer, FinAuto

Description

Are you interested in building high-performance and globally scalable reporting and analytics infrastructure that support Amazon's Global Real Estate and Facilities (GREF) 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.

In Finance Automation, we built technology to simplify and automate the processes Amazon uses to manage its financial relationships with external stakeholders. We are on a journey to create technology that simplifies the processes that Amazon uses to procure, collect and pay. We recently formed a new GREF Technology team which is the software development team for GREF. This team builds products and tools to enable Amazon’s corporate real estate team as they build and operate the company’s facilities worldwide.

The GREF Tech team is looking for a passionate, solution-oriented Data Engineer to lead the implementation of the analytical data infrastructure that will guide the decision making behind initiatives such as space planning, design and construction, corporate security, travel, transportation, lease, facilities, and other key projects within the Global Real Estate and Facilities (GREF) domain.

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 Finance Automation and GREF.
  
  

We are open to hiring candidates to work out of one of the following locations:

Arlington, VA, USA | Seattle, WA, USA

Basic Qualifications

• 3+ years of data engineering experience
• Experience with data modeling, warehousing and building ETL pipelines
• Experience with SQL
• Knowledge of distributed systems as it pertains to data storage and computing
• Experience using big data technologies (Hadoop, Hive, Hbase, Spark, EMR, etc.)
• Knowledge of Data Management fundamentals and Data Storage principles
• Proficiency in at least one modern programming language such as Python, Scala, or Java.
• Basic knowledge of UNIX shell scripting
  
  

Preferred Qualifications

• 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)
• Knowledge of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations
• Proven success in communicating with users, other technical teams, and senior management to collect requirements, describe data modeling decisions and data engineering strategy
• Experience providing technical leadership and educating other engineers for best practices on data engineering
• Familiarity with machine learning concepts statistical models, and data mining algorithms.
• Masters in computer science, mathematics, statistics, economics, or other quantitative fields
  
  

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $105,700/year in our lowest geographic market up to $205,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. Applicants should apply via our internal or external career site.


Company - Amazon.com Services LLC

Job ID: A2471124