Data Engineer II, SPIA

Technology, Data & Digital · Data, AI & Analytics · Data Engineering

In short

Amazon's SPIA organization seeks a Data Engineer II to build and manage massive data infrastructure for analytics. Responsibilities include designing and implementing ETL pipelines, ensuring system efficiency, and enabling data exploration using SQL and AWS big data technologies.

Responsibilities

Design/implement automation and manage massive data infrastructure to scale for case management analytics.
Build solutions to achieve BAA standards for system efficiency, IMR efficiency, data availability, consistency & compliance.
Enable efficient data exploration, experimentation of large datasets, and implement data access control.
Design and implement scalable and cost-effective data infrastructure for Non-IN use cases.
Extract, transform, and load data from various sources using SQL and AWS big data technologies.
Drive operational excellence and build automation to reduce operations.
Contribute to all parts of the data engineering and deployment lifecycle: design, development, documentation, testing, and maintenance.

Requirements

3+ years of data engineering experience
Experience with data modeling, warehousing, and building ETL pipelines
Experience with SQL
Must possess strong verbal and written communication skills
Self-driven and deliver high quality results in a fast-paced environment.

Desired 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)
Master's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent

Benefits

Inclusive culture that empowers Amazonians
Work alongside accomplished engineers who value teamwork and technical excellence
Opportunity to shape the future of data engineering for a platform processing millions of cases daily
Drive insights that directly impact customer experience and operational excellence across the world's largest e-commerce ecosystem.

Skills

SQLRedshiftS3AWS GlueEMRKinesisFireHoseLambdaIAM

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