Amazon
Data Engineer, DS2-Science & Data Technology team
Amazon, Seattle, Washington, us, 98127
Data Engineer, DS2-Science & Data Technology team
Job ID: 2843070 | Amazon.com Services LLC The Amazon Devices team designs and engineers high-profile consumer electronics, including the best-selling Kindle family of products. We have also produced groundbreaking devices like Fire tablets, Fire TV, Amazon Dash, and Amazon Echo. What will you help us create? The Team: We are seeking a Data Engineer with strong analytical, communication, and project management skills to join our team. You will design, evangelize, and implement state-of-the-art solutions for never-before-solved problems, helping Amazon Device provide customers with great products and keep the data secure. You will work with the most complicated data environment, employing the right architecture to handle big data and support various analytics use cases, including business reporting, production data pipeline, machine learning, optimization models, statistical models, and simulation. Your work will have a direct impact on the day-to-day decision-making in the Amazon Devices Sales & Operations Technology and end customers. You are an individual with outstanding analytical abilities, excellent communication skills, good business understanding, and technical savvy. The successful candidate will be an analytical problem solver who enjoys diving into data, is excited about solving ambiguous problems, can multi-task, and can credibly interface between technical teams and business stakeholders. Key job responsibilities
Design, implement, and support an analytical data infrastructure using AWS technologies. Build robust and scalable data integration (ETL) pipelines using SQL and AWS data storage technologies like Aurora, Redshift, etc. Design and develop Analytics applications using modern scripting languages (Python, R, PHP, etc.) supporting critical business functions. Gather business and functional requirements and translate these requirements into robust, scalable, operable solutions with a flexible and adaptable data architecture. Lead architecture design and implementation of next-generation BI solutions. Continually improve ongoing reporting and analysis processes, automating or simplifying self-service modeling and production support for customers. BASIC QUALIFICATIONS
- 3+ years of data engineering experience - Experience with data modeling, warehousing, and building ETL pipelines - Experience with SQL PREFERRED 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) Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. Posted:
December 3, 2024 (Updated about 3 hours ago)
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Job ID: 2843070 | Amazon.com Services LLC The Amazon Devices team designs and engineers high-profile consumer electronics, including the best-selling Kindle family of products. We have also produced groundbreaking devices like Fire tablets, Fire TV, Amazon Dash, and Amazon Echo. What will you help us create? The Team: We are seeking a Data Engineer with strong analytical, communication, and project management skills to join our team. You will design, evangelize, and implement state-of-the-art solutions for never-before-solved problems, helping Amazon Device provide customers with great products and keep the data secure. You will work with the most complicated data environment, employing the right architecture to handle big data and support various analytics use cases, including business reporting, production data pipeline, machine learning, optimization models, statistical models, and simulation. Your work will have a direct impact on the day-to-day decision-making in the Amazon Devices Sales & Operations Technology and end customers. You are an individual with outstanding analytical abilities, excellent communication skills, good business understanding, and technical savvy. The successful candidate will be an analytical problem solver who enjoys diving into data, is excited about solving ambiguous problems, can multi-task, and can credibly interface between technical teams and business stakeholders. Key job responsibilities
Design, implement, and support an analytical data infrastructure using AWS technologies. Build robust and scalable data integration (ETL) pipelines using SQL and AWS data storage technologies like Aurora, Redshift, etc. Design and develop Analytics applications using modern scripting languages (Python, R, PHP, etc.) supporting critical business functions. Gather business and functional requirements and translate these requirements into robust, scalable, operable solutions with a flexible and adaptable data architecture. Lead architecture design and implementation of next-generation BI solutions. Continually improve ongoing reporting and analysis processes, automating or simplifying self-service modeling and production support for customers. BASIC QUALIFICATIONS
- 3+ years of data engineering experience - Experience with data modeling, warehousing, and building ETL pipelines - Experience with SQL PREFERRED 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) Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. Posted:
December 3, 2024 (Updated about 3 hours ago)
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