Are you looking for an opportunity to develop technology that will redefine the customer experience for one of the fastest growing and strategic organizations within Global Engineering Services (GES)? Are you interested in joining a global team that is innovating with CX to make Amazon´s building network grow? This is your chance to get in on the ground floor with the Global Engineering Insights & Software Tools (GEIST) tech team that is shifting the paradigm for engineering services with disruptive experiences! The GEIST organization supports a vast portfolio of buildings within the Amazon network and the build out standards and designs.

We are looking for a Data Engineer to play a pivotal role in developing and implementing a comprehensive data platform for GES business. The successful candidate will have a proven track record of building integrated data tools and platforms to support global businesses. This fast-paced, results-oriented role will involve developing the platform to support key decisions for Global Engineering Services. You will work closely with Engineering, Product and Technical Program teams as you develop forward-looking architecture and build strategies to complement the revolutionary GEIST vision.

In this role, you will have the freedom (and encouragement) to experiment, improve, invent, and innovate on behalf of our customers. You will have the satisfaction of being able to look back and say you were a key contributor to something special from its earliest stages.

Key job responsibilities

Design, implement, and support data warehouse/ data lake infrastructure

using AWS bigdata stack, Python, Redshift, QuickSight, Glue/lake formation,

EMR/Spark, Athena etc.

• Develop and manage ETLs to source data from various systems and create

unified data model for analytics and reporting.

• Creation and support of real-time data pipelines built on AWS technologies

including EMR, Glue, Redshift/Spectrum and Athena.

• Continual research of the latest big data technologies to provide new

capabilities and increase efficiency.

• Manage numerous requests concurrently and strategically, prioritizing

when necessary

• Partner/collaborate across teams/roles to deliver results.

About the team

The GEIST team serves as the software solution team to all Global Engineering needs, working with its customers to set a consolidated Tech strategy, and prioritizing investments to best serve their needs and our bottom line. The GEIST team is responsible for the sustainment of a large product suite ranging from Planning & Forecasting applications to robust in-flight management of field execution users. These systems are leveraged by several thousand internal and external users around the globe.

BASIC QUALIFICATIONS

- Experience in data engineering

- 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)

- Knowledge of cloud services such as AWS or equivalent

PREFERRED QUALIFICATIONS

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

- Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon.