Data Engineer I, Amazon Business Ops Analytics

Amazon; Vancouver; On-site; CAD 81,000 - 135,000; Full time

Job summary

Amazon Business seeks a data engineer to design and develop scalable data architectures, warehouses, and pipelines supporting data analyses and ML model development. You will collaborate with cross-functional teams to shape data storage and pipelines roadmap and implement robust data solutions at scale.

Ideal candidates bring 1+ years in data engineering, strong SQL and Python skills, and experience with big data tools (Hadoop/Hive/Spark).

Qualifications

• 1+ years of data engineering experience.
• Experience with data modeling, warehousing and building ETL pipelines.
• Experience with one or more query languages (SQL, PL/SQL, HiveQL, SparkSQL).
• Experience with scripting languages (Python, etc.).

Responsibilities

• Design and develop data architecture, standards, and end-to-end scalable data applications and pipelines.
• Build and support data warehouse and data lake platforms for data analyses and ML model development.
• Develop collaboration with data engineering, software development, research, modeling and marketing teams.
• Define the data strategy and road map for storage and pipelines design and implementation.

Skills

Data architecture

Data modeling

Warehousing

ETL pipelines

SQL

Python

Tools

Hadoop

Hive

Spark

EMR

Informatica

ODI

SSIS

Datastage

Job description

Description

Amazon Business (AB) is re-inventing B2B eCommerce by offering business customers of all sizes the same advantages Amazon has already brought to consumers including broad selection, low pricing, and great customer service. WW Ops Amazon Business is building the operations and supply chain solutions that will enable AB’s rapid growth by re-engineering many parts of our supply chain to offer bulk, consolidated, pallet deliveries and many other services that business customers require. As an early team member, you will be involved in helping re-imagine what a B2B supply chain should look like and playing a key role in the technology that will power our supply chain.

Description

Amazon Business (AB) is re-inventing B2B eCommerce by offering business customers of all sizes the same advantages Amazon has already brought to consumers including broad selection, low pricing, and great customer service. WW Ops Amazon Business is building the operations and supply chain solutions that will enable AB’s rapid growth by re-engineering many parts of our supply chain to offer bulk, consolidated, pallet deliveries and many other services that business customers require. As an early team member, you will be involved in helping re-imagine what a B2B supply chain should look like and playing a key role in the technology that will power our supply chain.

Key job responsibilities

We seek a quick-learner who can quickly familiarize themselves with a fast-paced environment, build relationships with cross-functional teams, and assume ownership for a broad array of domains. Flexibility, and an ability to prioritize will be key. Our team culture is goal-oriented, collaborative and driven to achieve results.

• Design and develop the data architecture, data standards, and end to end scalable data applications and data pipelines.
• Build and support the data warehouse & data lake platforms for data analyses, ML/AI model development, validation and implementation.
• Develop strong collaborative relationships with key partners in data engineering, software development, research, modeling and marketing teams
• Develop the team's data strategy and technical road map of data storage & pipelines design and implementation

About The Team

Amazon Business (AB) launched in the United States in April 2015 with the vision of delivering a comprehensive procurement solution for business customers of all sizes. In the US, AB now serves Fortune 500 companies, hospital systems, local governments, and education organizations. To support AB's mission, the AB Operations team owns end to end customer experience for AB customers right from checkout to final mile delivery and sits under the broader Global Transportation Services (GTS). We are the Single Threaded WW Ops team driving B2B operations, developing products and programs unique to business customers, and enhancing the core Amazon delivery capabilities for commercial addresses. While Amazon has built its core operations over the last two decades mostly catered towards the end-consumer, we recognize that the business customers have unique needs and require a different set of features and services from their e-Commerce provider.

Basic Qualifications

• 1+ years of data engineering experience
• 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)

Preferred Qualifications

• Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
• Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.

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.

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.

CAN, BC, Vancouver - 80,700.00 - 134,800.00 CAD annually

CAN, ON, Toronto - 80,700.00 - 134,800.00 CAD annually

Company

- Amazon Canada Fulfillment Services, ULC

Job ID: A10474520