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Data Engineer II, Amazon Last Mile - Routing and Planning - DE

Amazon

Seattle (WA)

On-site

USD 95,000 - 135,000

Full time

7 days ago
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Job summary

Join a forward-thinking company as a Data Engineer II, where you'll play a pivotal role in enhancing last mile delivery through data-driven insights. Collaborate with cross-functional teams to design and implement robust data solutions using AWS technologies. Your expertise in data engineering will empower the organization to optimize delivery routes and improve efficiency. This is an exciting opportunity to leverage your analytical skills and technical prowess in a dynamic environment, contributing to innovative solutions that impact millions of customers. If you're passionate about data and eager to make a difference, we want to hear from you!

Qualifications

  • 3+ years of data engineering experience with a strong focus on AWS technologies.
  • Proficient in SQL and experience with data modeling and ETL processes.

Responsibilities

  • Design and implement data warehouse infrastructure using AWS big data stack.
  • Develop and manage ETLs to create unified data models for analytics.

Skills

Data Engineering
SQL
Python
Data Modeling
ETL Pipelines
Analytical Skills

Education

Bachelor's Degree in Computer Science or related field

Tools

AWS Redshift
AWS S3
AWS Glue
AWS EMR
AWS Athena
Quicksight

Job description

Data Engineer II, Amazon Last Mile - Routing and Planning - DE

As part of the Last Mile Science & Technology organization, you’ll partner closely with Product Managers, Data Scientists, and Software Engineers to drive improvements in Amazon's Last Mile delivery network. You will leverage data and analytics to generate insights that accelerate the scale, efficiency, and quality of the routes we build for our drivers through our end-to-end last mile planning systems. You will develop complex data engineering solutions using AWS technology stack (S3, Glue, IAM, Redshift, Athena). You should have deep expertise and passion in working with large data sets, building complex data processes, performance tuning, bringing data from disparate data stores and programmatically identifying patterns. You will work with business owners to develop and define key business questions and requirements. You will provide guidance and support for other engineers with industry best practices and direction. Analytical ingenuity and leadership, business acumen, effective communication capabilities, and the ability to work effectively with cross-functional teams in a fast-paced environment are critical skills for this role.

Key job responsibilities
• Design, implement, and support data warehouse / data lake infrastructure using AWS big data stack, Python, Redshift, Quicksight, Glue/lake formation, EMR/Spark/Scala, Athena etc.
• Extract huge volumes of structured and unstructured data from various sources (Relational /Non-relational/No-SQL database) and message streams and construct complex analyses.
• Develop and manage ETLs to source data from various systems and create unified data model for analytics and reporting
• Perform detailed source-system analysis, source-to-target data analysis, and transformation analysis
• Participate in the full development cycle for ETL: design, implementation, validation, documentation, and maintenance.

BASIC QUALIFICATIONS

- 3+ years of data engineering experience
- 4+ years of SQL experience
- 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 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

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)
- Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets

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.

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Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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