Data Engineer, SPTC

About the role

The successful candidate will be a self-starter, comfortable with ambiguity and be able to create and maintain efficient & automated processes. They know and love working with data engineering tools, can model multidimensional datasets, and can partner effectively with business leaders to build the right data pipelines to answer key business questions.

Responsibilities

• Work on unifying fragmented data pipelines, building robust data models, and ensuring reliable data lineage across multiple product areas.
• Partner closely with software engineers, product managers, and analytics teams to develop data solutions that drive innovation and operational excellence.
• Lead design and code reviews, driving engineering best practices across data development, documentation, testing, and monitoring.
• Build data platforms and frameworks that support both batch and real-time processing, enabling flexible, efficient analytics at scale.
• Implement secure and compliant data solutions that meet internal and external regulatory requirements (e.g., GDPR).
• Evaluate and introduce emerging technologies to improve data platform performance, cost efficiency, and scalability.
• Collaborate with cross-functional teams to gather data requirements, define solution architectures, and ensure alignment with business needs.
• Mentor junior engineers and contribute to team hiring and onboarding.

Requirements

• 3+ years of data engineering experience
• 1+ years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes
• 1+ years of developing and operating large-scale data structures for business intelligence analytics using OLAP technologies
• 1+ years of developing and operating large-scale data structures for business intelligence analytics using data modeling
• 1+ years of developing and operating large-scale data structures for business intelligence analytics using SQL
• 1+ years of developing and operating large-scale data structures for business intelligence analytics using Oracle

Qualifications

• Experience with data modeling, warehousing and building ETL pipelines

Preferred 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)

Benefits

Amazon offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.