
About Amazon
The everything store and cloud computing leader
Key Highlights
- Headquartered in South Lake Union, Seattle, WA
- Over 1.5 million employees worldwide
- Leading cloud services through Amazon Web Services (AWS)
- Acquired Whole Foods, Twitch, and Ring
Amazon, headquartered in South Lake Union, Seattle, WA, is the world's largest online retailer and a leader in cloud computing through Amazon Web Services (AWS). With over 1.5 million employees globally, Amazon operates in various sectors, including AI with its Alexa devices and a vast marketplace k...
🎁 Benefits
Amazon offers competitive salaries, stock options, generous PTO policies, and comprehensive health benefits. Employees also have access to a learning ...
🌟 Culture
Amazon's culture is driven by customer obsession and a focus on innovation. The company encourages employees to think big and move fast, fostering an ...
Overview
Amazon is hiring a Senior Data Engineer to build and manage complex data systems for the Fulfillment Technologies team. You'll work with AWS and Redshift to optimize data pipelines and drive efficiency improvements. This position requires experience in data architecture and large data sets.
Job Description
Who you are
You have 5+ years of experience in data engineering, particularly in designing and managing large-scale data solutions. Your expertise includes working with various data platforms, including RDBMS and cloud-based systems, allowing you to effectively handle massive datasets and derive actionable insights from them.
You possess strong communication skills, enabling you to collaborate with business stakeholders to identify key business questions and develop data sets that address those inquiries. Your passion for data drives you to continuously seek improvements in data processing and analysis, ensuring that the data you work with is not only accurate but also valuable for decision-making.
You are familiar with cloud architectures and have experience in migrating existing data pipelines to modern cloud solutions. Your technical skills are complemented by your ability to think critically about data architecture and its implications for business operations.
Desirable
Experience with Amazon Redshift is a plus, as is familiarity with big data technologies such as Apache Spark or Hadoop. You are also comfortable working in a fast-paced environment where you can leverage your problem-solving skills to tackle complex data challenges.
What you'll do
As a Senior Data Engineer at Amazon, you will be responsible for developing and maintaining data engineering patterns that leverage cloud architecture. You will work closely with the Fulfillment Technologies team to design and implement data pipelines that capture data at every step of the fulfillment process, ensuring that the data is readily available for analysis and reporting.
You will collaborate with cross-functional teams to identify opportunities for efficiency improvements and cost reductions based on data insights. Your role will involve integrating various data sources into a cohesive data warehouse environment, allowing for comprehensive analysis and reporting.
You will also be tasked with optimizing existing data pipelines and ensuring that they are scalable and efficient. This includes monitoring performance, troubleshooting issues, and implementing best practices for data management and governance.
What we offer
Amazon provides a dynamic work environment where innovation is encouraged. You will have the opportunity to work with cutting-edge technologies and contribute to projects that have a significant impact on the company's operations. We offer competitive compensation and benefits, along with opportunities for professional growth and development within the organization.
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