Senior Data Engineer

Seattle, Washington, USA

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Posted 1 month ago

We are seeking an experienced Senior Data Engineer (DE) to help invent the future of everyday grocery shopping with Alexa. Our team enables shopping in everyday life by making it easy for customers. Whether it is to capture what customers need in the moment by adding items to their Alexa Shopping List, help them build their carts with Whole Foods Market, or just buy some more aluminum foil, Alexa is there to help save time and money. Our services allow customers to shop, anywhere, easily without interrupting what you’re doing – to go from “Alexa, buy bananas” to “It’s on the way” in a matter of seconds. Join us, and be a key member of the new and exciting Alexa Shopping Grocery analytics team.

The analytics team’s success depends on our ability to create actionable insight from the data that that our customers generate. We are seeking a Data Engineer with strong analytical, technical and communication skills to join our team. This role will be a key member of a Alexa Shopping Grocery Analytics team based in Seattle, WA. Working closely with business stakeholders, software development engineers, business intelligence and scientist colleagues, you will design, evangelize, and implement state-of-the-art solutions for never-before-solved problems, helping Alexa to provide customer great products. You will work with the most complicated data environment, employ right architecture to handle big data and support various analytics use cases, including business reporting, production data pipeline, machine learning, data modeling, statistical models, experimentation etc. Your work will have a direct impact on the day-to-day decision making in the Alexa Shopping grocery and consumables, and end customers.

You are an individual with outstanding analytical abilities, excellent communication skills, good business understanding, and technically savvy. The successful candidate will be an analytical problem solver who enjoys diving into data, is excited about solving ambiguity problems, can multi-task, and can credibly interface between technical teams and business stakeholders.

Basic Qualifications

· Bachelor’s degree in an engineering or technical field such as Computer Science, Physics, Mathematics, Statistics, Engineering or similar.
· 5+ years of experience with data warehouse technical architectures, ETL/ ELT, reporting/analytic tools and, scripting.
· 5+ years of demonstrated quantitative and qualitative data experience with data modeling, ETL development
· Knowledge of data modeling and experience SQL with Redshift, Oracle, MySQL, and Columnar Databases
· Experience managing competing priorities simultaneously and driving projects to completion

Preferred Qualifications

· Desire to create and maintain data warehouse systems
· Experience with big data technologies
· Master's degree in an engineering or technical field such as Computer Science, Physics, Mathematics, Statistics, or Engineering
· Experience with AWS services including S3, Lambda, EMR, RDS, Data-pipeline and other big data technologies
· Experience with scripting (Python experience is a strong plus).
· Proficient in the composition of Advanced SQL (analytical functions) and query performance tuning skills
· Ability to interact, communicate, present and influence with both business and technical teams
· A self-starter who loves data and who enjoys spotting the trends in it!

Job tags: AWS Big Data Business Intelligence Engineering ETL Machine Learning MySQL Oracle Python Redshift SQL