Gdpr Data Jobs

1 job found

2mo ago

Amazon Seattle, WA

Seattle, WA

2mo ago Closed

$132k - $179k/yr Full time Analytics AWS Aws Glue

This position is no longer accepting applications (closed Jun 19, 2026).

Data Engineer to design, implement, and maintain data sources and pipelines that empower decision making and foster trust with Amazon's sellers.

Design and deploy scalable, reliable, and secure data pipelines and infrastructure to support analytics, reporting, and business operations.
Establish and enforce data modeling standards, data lineage, and governance programs to ensure consistency, reusability, and quality across platforms.
Oversee design and code reviews and promote engineering best practices across data development, documentation, testing, and monitoring.
Develop data platforms and frameworks that support both batch and real time processing for flexible, scalable analytics.
Deliver secure and compliant data solutions that meet internal and external regulatory requirements such as GDPR.
Assess and adopt emerging technologies to improve data platform performance, cost efficiency, and scalability.
Partner with cross functional teams to capture data requirements, define solution architectures, and align with business objectives.
Mentor junior engineers and contribute to team hiring and onboarding processes.

Minimum 3 years of data engineering experience.
At least 1 year of building and operating large scale BI data structures using ETL/ELT processes.
At least 1 year of building and operating large scale BI data structures using OLAP technologies.
At least 1 year of building and operating large scale BI data structures using data modeling.
At least 1 year of building and operating large scale BI data structures using SQL.
At least 1 year of building and operating large scale BI data structures using Oracle.
Experience with data modeling, data warehousing, and constructing ETL pipelines.

Experience with AWS technologies such as Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
Experience with non-relational databases and data stores (object storage, document or key-value stores, graph databases, or column-family databases)

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