Data Engineer

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 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