À propos
Amazon is seeking a Data Engineer to join their Ring team, focusing on building and maintaining data pipelines to enhance customer experience. The role involves collaborating with stakeholders to understand their data needs and implementing solutions using AWS and internal tools.
Responsibilities : • Collect and Discuss requirements from Business Stakeholders across verticals such as Subscriptions, Sales, Reverse Logistics, Finance, Product, etc. • Build new data ingestions using a combination of Native AWS services and/or internal Amazon tools. • Maintaining/Improving existing data ingestions and ensuring they meet evolving standards and corporate mandates. • Building/Improving/Maintaining frameworks or tools and GenAI Agents for internal team and external stakeholder usage to manage data. • Performing Code Reviews and ensuring best practices are followed for ETL and Data Hygiene by team members and supporting teams.
Qualifications : Required : • 3+ years of data engineering experience • Experience with data modeling, warehousing and building ETL pipelines • Experience with SQL
Preferred : • 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 in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS • Experience working in or building GenAI enhanced data pipelines
Company :
Amazon is a tech firm with a focus on e-commerce, cloud computing, digital streaming, and artificial intelligence. Founded in 1994, the company is headquartered in Seattle, USA, with a team of 10001+ employees. The company is currently Late Stage.
Compétences linguistiques
- English
Avis aux utilisateurs
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