We are seeking an experienced and highly skilled Data Engineer to join our team in India. As a Level 5 Data Engineer, you will play a crucial role in designing, implementing, and maintaining our data infrastructure and pipelines. You will work closely with cross-functional teams to deliver scalable and efficient data solutions that drive business value.
Key job responsibilities
Lead the design and implementation of complex data pipelines and ETL processes to support our analytical and operational needs.
Architect and develop scalable, high-performance data systems using cloud technologies and big data platforms.
Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and implement appropriate solutions.
Optimize data storage and retrieval systems for improved performance and cost-effectiveness.
Implement data quality checks and monitoring systems to ensure data integrity and reliability.
Mentor junior engineers and provide technical leadership on data engineering best practices and methodologies.
Evaluate and recommend new technologies and tools to enhance our data infrastructure capabilities.
Contribute to the development of data governance policies and procedures.
Troubleshoot and resolve complex data-related issues in production environments.
About the team
We are a dynamic team within Amazon's Selling Partner Services organization, focused on building and scaling API authorization and customization systems that empower thousands of global selling partners. Our mission is to create flexible, reliable, and extensible API solutions that help businesses thrive on Amazon's platform.
Our team combines the excitement of a startup with the resources and scale of Amazon. We offer an environment where you can make a significant impact while working with new technologies and talented professionals who are passionate about building world-class solutions.- 3+ years of data engineering experience
- 4+ years of SQL experience
- Experience with data modeling, warehousing and building ETL pipelines
- Knowledge of distributed systems as it pertains to data storage and computing- 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
https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
