Data Engineer, SPTC

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

Responsibilities

• 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.

Requirements

• 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.

Technologies

• Redshift
• S3
• AWS Glue
• EMR
• Kinesis
• FireHose
• Lambda
• IAM
• Oracle
• SQL

Benefits

• Health insurance including medical, dental, vision, and prescription coverage
• Basic Life and AD&D insurance
• Supplemental life plan options
• Employee Assistance Program (EAP)
• Mental health support resources
• Medical advice line
• Flexible Spending Accounts
• Adoption and surrogacy reimbursement
• 401(k) with company matching
• Paid time off
• Parental leave

Preferred Qualifications

• 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)