Data Engineer , Prime Air

Job Description:

Here at Amazon, we embrace our differences. We are committed to furthering our culture of diversity and inclusion of our teams within the organization.

We’re working on the future. If you are seeking an iterative fast-paced environment where you can drive innovation, apply state-of-the-art technologies to solve real world delivery challenges, and provide visible benefit to customers, this is your opportunity.

Come work on the Amazon Prime Air Team!

We are looking for an analytical, results-oriented, self-motivated, and customer-focused Data Engineer to build data pipelines, develop our internal analytics infrastructure, and create data models that enable internal users to gain key business insights.

The ideal candidate will have excellent analytical abilities, strong technical skills, and a relentless curiosity to learn. They are comfortable with working in a fast-paced, dynamic environment and have experience with cloud technologies, as well as with building ETL pipelines, designing dimensional and reporting data models, and writing adhoc SQL queries to answer stakeholder questions.

Key job responsibilities
Create ETL pipelines using SQL as well as Python within our AWS environment. Writing Python code to solve immediate problems, and expanding the functionality of our data platform. Writing SQL queries to answer adhoc requests and diving deep into the data to understand trends and fix data quality issues.

About the team
We are a team comprised of data engineers and business intelligence engineers, managing the entire end to end analytics lifecycle for Prime Air. We support all areas of the organization with data, both regular reporting to senior leadership, dashboards that provide insights into different functional areas, as well as self-service mechanisms that allow users to get the data they need on their own.

Job Requirements:

- 1+ years of data engineering experience
- 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Bachelor's degree in a quantitative/technical field such as computer science, engineering, statistics
- Knowledge of distributed systems as it pertains to data storage and computing
- 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)- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions

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 spanets. The base pay for this position ranges from $91,200/year in our lowest geographic spanet up to $185,000/year in our highest geographic spanet. Pay is based on a number of factors including spanet 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.

Job Ident #: 2995626

Company Details

Amazon Prime Air

.
Seattle, Washington . USA
www.amazon.jobs/en/teams/airplanes

It’s always Day One at Amazon and today is no different with our middle mile transportation network. We view transportation not as just airplanes but the glue that connects a customer to their order from the moment they click buy on Amazon.com to the...

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Job Info

Location

Seattle, Washington, United States

Type

Permanent

Company Details

Amazon Prime Air

.
Seattle, Washington . USA
www.amazon.jobs/en/teams/airplanes