Data Engineer II, FO Data Engineering (SCDE) (Fulfillment & Operations)

Job Overview

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We are seeking a Data Engineer to join our team. Amazon has a culture of data-driven decision-making and demands business intelligence that is timely, accurate, and actionable. Your work will have an immediate influence on day-to-day decision making at Amazon.com.

As an Amazon Data Engineer you will be working in one of the world's largest and most complex data warehouse environments. We maintain one of the largest data marts in Amazon as well as work on Business Intelligence reporting and dashboarding solutions that are used by thousands of users worldwide.

Our team is responsible for timely delivery of mission critical analytical reports and metrics that are viewed at the highest levels in the organization.

• Deep expertise in the design, creation, management and business use of extremely large datasets.
• Excellent business and communication skills to work with business owners to develop and define key business questions, and to build data sets that answer those questions.
• Expertise at designing, implementing, and operating stable, scalable, low-cost solutions to flow data from production systems into the data warehouse and into end-user facing applications.
• Ability to work with business customers in a fast paced environment understanding the business requirements and implementing reporting solutions.
• Passionate about working with huge data sets and bringing datasets together to answer business questions and drive change.

Key Job Responsibilities

• This role requires an engineer with 4+ years experience in building data solutions, combined with both consulting and hands-on expertise.
• Help build new and maintain existing data warehouse implementations, develop tools to facilitate data integration, identify and architect appropriate storage technologies, execute projects to deliver high-quality data pipelines on time, define continuous improvement processes, drive technology direction, and effectively lead the data engineering team.
• Work with multiple internal teams that need support in managing backend data solutions.
• Using deep technical expertise, strong relationship-building skills, and documentation abilities, create technical content, provide consultation to customers, and gather feedback to drive the AWS analytic support offering.
• As the voice of the customer, work closely with data product managers and engineering teams to help design and deliver new features and product improvements that address critical customer challenges.

A Day in the Life

Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment.

Benefits

• Medical, Dental, and Vision Coverage
• Maternity and Parental Leave Options
• Paid Time Off (PTO)
• 401(k) Plan

If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you!

At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!

About the Team

A typical day on our team involves collaborating with other engineers to deploy new data solutions through our large automated systems while providing operational support for your newly deployed software. You will seek out innovative approaches to automate fixes for operational issues, leverage AWS services to solve design problems, and engage with other internal teams to integrate your applications with theirs.

You’ll be part of a world-class team in an inclusive environment that maintains the entrepreneurial feel of a startup. This is an opportunity to operate and engineer systems on a massive scale and to gain top‑notch experience in database storage technologies.

Basic Qualifications

• 3+ years of data engineering experience
• Experience with data modeling, warehousing and building ETL pipelines
• Knowledge of batch and streaming data architectures like Kafka, Kinesis, Flink, Storm, Beam
• Experience programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby
• Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets
• 3+ years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes experience

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)

Equal Opportunity Employer

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 for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Compensation

The base salary range for this position is listed below. As a total compensation company, Amazon's package may include other elements such as sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon offers comprehensive benefits including health insurance (medical, dental, vision, prescription, basic life & AD&D insurance), Registered Retirement Savings Plan (RRSP), Deferred Profit Sharing Plan (DPSP), paid time off, and other resources to improve health and well-being. We thank all applicants for their interest; however only those interviewed will be advised as to hiring status.

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