Data Engineer II
Technology, Data & Digital · Data, AI & Analytics · Data Engineering · Data Science · Machine Learning
In short
Amazon's Transparency team is hiring a Data Engineer II in Hyderabad, India to design, build, and maintain analytical platforms, data clusters, and ETL pipelines. This role requires 3+ years of data engineering experience, 4+ years of SQL, and experience with data modeling and warehousing. Preferred qualifications include AWS technologies and non-relational databases.
Responsibilities
- Design, build, and maintain an analytical platform providing access to large datasets and computing power.
- Design, build and maintain data clusters providing access and insights for business needs.
- Design build and maintain data pipelines to transport relevant data to the right destinations.
- Implement data structures using best practices in data modeling.
- Collaborate with Analytics team to implement advanced analytics and GenAI algorithms.
- Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.
- Build robust and scalable data integration (ETL) pipelines.
- Author and evangelize Data handling best practices for the organization.
- Interface with other technology teams to extract, transform, and load data from a wide variety of data sources.
- Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers.
Requirements
- 3+ years of data engineering experience
- 4+ years of SQL experience
- Experience with data modeling, warehousing and building ETL pipelines
Desired 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
- Inclusive culture empowers Amazonians to deliver the best results for our customers.
- Workplace accommodation and adjustment for people with disabilities during the application and hiring process.
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