Data Engineer (Toronto)

Data Engineer (Toronto)

12 Aug
|
Amazon
|
Toronto

12 Aug

Amazon

Toronto

Who you are

- 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)

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

- Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc

What the job involves

- 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

- We seek a quick-learner who can quickly familiarize themselves with a fast-paced setting, 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

📌 Data Engineer (Toronto)
🏢 Amazon
📍 Toronto

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