Amazon.com Services LLC

Technology

DataEngineer,AMZLOrbitDataEngineering

$132–179k Bellevue, Washington, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid candidates.

The Brief

“Data Engineer, AMZL Orbit Data Engineering at Amazon.com Services LLC. Skills: Data engineering, Machine learning, Data warehousing, Business intelligence. Design data pipelines. Build data models”

Industry & Context.

Technology

What They're Looking For.

Must Have

3+ years of experience in data engineering, Proficiency in SQL, Bachelor's degree in Computer Science, Engineering, or related field

Nice to Have

Master's degree preferred, Experience with AWS cloud services, Experience with ML frameworks, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification

What You'll Do.

Design data pipelines

Develop ETL processes

Implement data warehousing solutions

Perform analytics engineering

Conduct quantitative analysis

Develop machine learning models

Optimize data infrastructure

Collaborate with stakeholders

How You'll Work.

Team & Collaboration

Cross-functional teams; Data scientists; Analysts; Product managers

Full Job Description

Open to hire in the following Job locations: Bellevue,USA, WA. Do you want to be in the forefront of engineering big data solutions that takes Transportation models to the next generation? Do you have a solid analytical thinking, metrics driven decision making and want to solve problems with solutions that will meet the growing worldwide need? We are looking for top notch Data Engineers to be part of our world class Transportation Business Intelligence team. We are building real time analytical platforms using big data tools and AWS technologies like Hadoop, Spark, EMR, SNS, SQS, Lambda, Kinesis Firehose, DynamoDB Streams. The ideal candidate relishes working with large volumes of data, enjoys the challenge of highly complex technical contexts, and, above all else, is passionate about data and analytics. An expert with data modeling, ETL design and business intelligence tools and passionately partners with the business to identify strategic opportunities where improvements in data infrastructure creates out-sized business impact. The ideal candidate is self-starter, comfortable with ambiguity, able to think big (while paying careful attention to detail), and enjoys 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! Basic Qualifications: - 3+ years of data engineering experience - Experience with data modeling, warehousing and building ETL pipelines Preferred Qualifications: - Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions - Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases) 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

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