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Description

Are you looking to join a fast-paced, highly-inventive Data Engineering team helping to build earth's largest transportation network?

As a Data Engineer on the Surface Transportation team, you will be working in a large, complex, and dynamic data environment. We are looking for a highly skilled and motivated Data Engineer with an uncanny ability to integrate multiple heterogeneous data sources to build efficient, highly available, secure, and scalable data warehouse and reporting solutions. The ideal candidate has deployed analytics platforms to 1000+ users, optimizing the architecture for performance and positive end-user experience. You can effectively evaluate the pros and cons of different design decisions, and make appropriate architectural trade-offs. You are enthusiastic about learning new technologies and implementing solutions using these technologies to empower internal customers and scale the platform. You demonstrate solid communication skills and the ability to partner with both technical and non-technical teams to build data solutions that enable the business to gain insights and make decisions.

Key job responsibilities

- Design, build, and maintain batch and streaming data pipelines using modern Big Data technologies such as AWS Redshift, S3, Glue, Lake Formation, Athena, Kinesis, Lambda, etc.

- Manage data infrastructure as code using AWS CloudFormation and the AWS Cloud Development Kit (CDK)

- Automate processes using scripting languages such as Python, Scala, etc.

- Optimize, tune, and govern data warehouses and data lake environments to ensure performance for large user bases

- Work collaboratively with software engineers, data scientists, business analysts, and other internal partners to identify opportunities and build scalable solutions

- Possess strong verbal and written communication skills, be self-driven, and deliver high quality results in a fast-paced environment

Basic Qualifications

- 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

- Knowledge of cloud services such as AWS or equivalent

- Experience with data modeling, warehousing and building ETL pipelines

- Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)

- Experience with one or more scripting language (e.g., Python, KornShell, Scala)

Preferred Qualifications

- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $91,200/year in our lowest geographic market up to $185,000/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 . This position will remain posted until filled. Applicants should apply via our internal or external career site.