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Description

The Amazon ShipTech Analytics organization is looking for a smart and ambitious individual to support the development of analytical tools and data processing solutions for the Amazon transportation business. This role will work within a multi-functional BI and data engineering team with a focus on AMZL (Amazon Logistics) and other rapidly growing delivery programs where Amazon is innovating to find new ways to deliver to our customers.

The ideal candidate thrives working with large volumes of data, enjoys the challenge of highly complex technical contexts, and is passionate about data and analytics. The candidate is an expert within data modeling, ETL design and cloud/big-data technologies and passionately partners with the business to identify strategic opportunities where improvements in data infrastructure creates large-scale business impact. The candidate should be a self-starter; comfortable with ambiguity, able to think big, and enjoy working in a fast-paced and global team. It’s a big ask, and we’re excited to talk to those up to the challenge!

Key job responsibilities

· Build end-to-end data pipelines to ingest and transform data from different types of data sources and systems; from traditional ETL pipelines to event data streams

· Utilize data from disparate data sources to build meaningful datasets for analytics, reporting and ML use cases

· Evaluate and implement various big-data technologies and solutions (e.g. Redshift, Hive/EMR, Spark, SNS, SQS, Kinesis) to optimize processing of extremely large datasets

· Understand and analyze business processes, logical data models and relational database implementations

· Write high performing and optimized SQL queries

· Execute research projects, and generate practical results and recommendations

· Design and implement automated data processing solutions and data quality controls

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

Bellevue, WA, USA

Basic Qualifications

• Bachelor's degree

• 2+ years of data engineering experience

• Experience with SQL

• Experience with data modeling, warehousing and building ETL pipelines

• Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS

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

• Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)

Preferred Qualifications

• Master's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent

• 5+ years of data engineering experience

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

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. This position will remain posted until filled. Applicants should apply via our internal or external career site.