Data Engineer II, SPT Analytics
Data Engineer II, SPT Analytics
Posted on :
13-08-2025
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1 Vacancy
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Job Description
As we strive to be Earths most customer-centric company Amazon has reinvented how hundreds of millions of people shop online providing customers with the opportunity to find and discover virtually anything they want to buy and providing millions of sellers with a platform for growing successful businesses. We are looking for an exceptional data engineer to help us develop new ways to build trust and loyalty with sellers a crucial component of our flywheel
Sellers trust in Amazon is our top priority and in this role you will be tasked with building that trust over time by building and maintaining the data sources that power all of our decision making. Amazons growth requires leaders who move fast have an entrepreneurial spirit to create new solutions have an unrelenting tenacity to get things done and are capable of breaking down and solving complex problems.
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. They will build efficient flexible extensible and scalable data models ETL designs and data integration services. They will also be required to support and manage growth of these data solutions. They are analytical and creative and dont quit. This is a role with high visibility to senior leadership and with high opportunity for impact for those willing to roll up their sleeves and dive deep to achieve results.
Key job responsibilities
Design implement and maintain complex data pipelines and ETL/ELT processes to support analytical and operational needs
Architect and develop scalable high-performance data systems using cloud technologies and big data platforms
Manage and optimize Redshift cluster performance including WLM vacuum operations and table maintenance
Design and implement optimal table distribution styles and sort keys for Redshift tables to maximize query performance
Monitor and tune Redshift query performance including analyzing query plans and implementing performance optimization strategies
Collaborate with data scientists analysts and business stakeholders to gather requirements and implement appropriate data solutions
Create and optimize data models to support both ad-hoc and pre-built reporting needs
Implement comprehensive data quality frameworks and monitoring systems to ensure data integrity and reliability
Design and maintain metadata management systems and documentation
Provide technical leadership and mentorship to junior engineers on data engineering best practices
Evaluate and recommend new technologies to enhance data infrastructure capabilities
Troubleshoot and resolve complex data-related issues in production environments
Contribute to data governance policies and procedures
Optimize query performance and data storage solutions for improved efficiency and cost-effectiveness
Participate in the full development lifecycle from design through implementation testing and maintenance
- 5 years of data engineering experience
- 4 years of SQL experience
- Experience with data modeling warehousing and building ETL pipelines
- Experience with Redshift Oracle NoSQL etc.
- Experience building/operating highly available distributed systems of data extraction ingestion and processing of large data sets
- 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)
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Sellers trust in Amazon is our top priority and in this role you will be tasked with building that trust over time by building and maintaining the data sources that power all of our decision making. Amazons growth requires leaders who move fast have an entrepreneurial spirit to create new solutions have an unrelenting tenacity to get things done and are capable of breaking down and solving complex problems.
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. They will build efficient flexible extensible and scalable data models ETL designs and data integration services. They will also be required to support and manage growth of these data solutions. They are analytical and creative and dont quit. This is a role with high visibility to senior leadership and with high opportunity for impact for those willing to roll up their sleeves and dive deep to achieve results.
Key job responsibilities
Design implement and maintain complex data pipelines and ETL/ELT processes to support analytical and operational needs
Architect and develop scalable high-performance data systems using cloud technologies and big data platforms
Manage and optimize Redshift cluster performance including WLM vacuum operations and table maintenance
Design and implement optimal table distribution styles and sort keys for Redshift tables to maximize query performance
Monitor and tune Redshift query performance including analyzing query plans and implementing performance optimization strategies
Collaborate with data scientists analysts and business stakeholders to gather requirements and implement appropriate data solutions
Create and optimize data models to support both ad-hoc and pre-built reporting needs
Implement comprehensive data quality frameworks and monitoring systems to ensure data integrity and reliability
Design and maintain metadata management systems and documentation
Provide technical leadership and mentorship to junior engineers on data engineering best practices
Evaluate and recommend new technologies to enhance data infrastructure capabilities
Troubleshoot and resolve complex data-related issues in production environments
Contribute to data governance policies and procedures
Optimize query performance and data storage solutions for improved efficiency and cost-effectiveness
Participate in the full development lifecycle from design through implementation testing and maintenance
- 5 years of data engineering experience
- 4 years of SQL experience
- Experience with data modeling warehousing and building ETL pipelines
- Experience with Redshift Oracle NoSQL etc.
- Experience building/operating highly available distributed systems of data extraction ingestion and processing of large data sets
- 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)
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Employment Type
Full-Time
Department / Functional Area
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