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Description

Transform transportation data into strategic insights that power Amazon's global air network. As a key member of our Data, Analytics, and Business Intelligence team, you'll architect data solutions that drive operational excellence and customer delight across our worldwide transportation ecosystem.

Key job responsibilities

- Design and implement robust ETL/ELT processes using AWS big data technologies

- Create scalable data integration solutions that transform complex business requirements into actionable insights

- Develop and maintain high-performance data pipelines that support critical business intelligence needs

- Proactively identify and resolve data infrastructure challenges to enhance system reliability

- Collaborate with cross-functional teams to drive data-driven decision-making strategies

A day in the life

Your day will be a dynamic blend of technical innovation and collaborative problem-solving. You'll dive into complex datasets, design elegant data pipelines, and work alongside cross-functional teams to unlock actionable intelligence that shapes the future of global logistics.

About the team

We are a passionate group of data professionals dedicated to transforming raw information into strategic insights. Our team thrives on collaboration, innovation, and a shared commitment to solving complex challenges that directly impact Amazon's global air transportation network.

Basic Qualifications

- 1+ years of data engineering experience

- 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)

Preferred 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

- Experience with big data processing technology (e.g., Hadoop or ApacheSpark), data warehouse technical architecture, infrastructure components, ETL, and reporting/analytic tools and environments

- Knowledge of basics of designing and implementing a data schema like normalization, relational model vs dimensional model

- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions

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

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.