Data Engineer • Senior

Who you are

You have 5+ years of experience in data engineering, with a strong focus on building scalable data infrastructure and automating data processes. Your expertise in AWS and SQL allows you to design and implement robust data solutions that drive analytics and reporting. You excel in data governance practices, ensuring data quality and access standards are met across the organization. Your ability to communicate effectively with business owners and technical teams enables you to gather requirements and translate them into actionable data solutions.

You are proficient in Python and have experience with Apache Spark, which you use to create efficient data pipelines that integrate multiple heterogeneous data sources. Your background in data warehousing and ETL processes equips you to curate data for reporting, analysis, and machine learning models. You thrive in collaborative environments and enjoy working with cross-functional teams to deliver impactful data-driven insights.

Desirable

Experience with data modeling and data governance frameworks is a plus. Familiarity with machine learning concepts and tools will help you contribute to advanced analytics initiatives. You are always eager to learn new technologies and methodologies to enhance your data engineering skills.

What you'll do

As a Senior Data Engineer at Amazon, you will be responsible for establishing a reliable and accessible data platform for the Worldwide Operations Finance team. You will design, implement, and support scalable data infrastructure solutions that meet the needs of Operations Finance customers. Your role will involve creating data pipelines that aggregate and retrieve data efficiently, ensuring that stakeholders can trust the data they use for decision-making.

You will collaborate closely with product teams and technical leaders to gather infrastructure requirements and build data sets that align with business objectives. Your work will involve implementing complex data models and ensuring that data governance practices are followed to maintain data integrity. You will also be involved in curating data for various reporting and analysis needs, as well as supporting ad-hoc data requests from business users.

In this role, you will have the opportunity to innovate and drive improvements in data engineering processes, contributing to the overall success of the team and the organization. You will be part of one of the world's largest and most complex data warehouse environments, where your contributions will have a significant impact on operational efficiency and data-driven decision-making.

What we offer

Amazon provides a dynamic work environment where you can grow your skills and advance your career. You will have access to cutting-edge technologies and the opportunity to work on challenging projects that make a real difference. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds. Join us in shaping the future of data engineering at Amazon.