Data Engineer III

Central Engineering Services is seeking a Data Engineer with strong analytical, communication, and project management skills to join our team. This role will be a key member of a SW Services team within the Amazon Devices and Services organization. Working closely with business stakeholders, software development engineers, and scientist colleagues, you will design, evangelize, and implement state-of-the-art solutions that help us provide a great customer experience. You will work with a complicated data environment, employ the right architecture to handle data, and support various analytics use cases including business reporting, production data pipeline, machine learning, optimization models, statistical models, and simulations.

Key job responsibilities

The ideal candidate has outstanding analytical abilities, excellent communication skills, a good business understanding, and is technically savvy. They are an analytical problem solver who enjoys diving into data, is excited about solving ambiguity problems, can multi-task, and can interface between technical teams and business stakeholders.

About the team

The Central Engineering Services team provides diverse support across the Devices and Services organization. Team members are staffed in the US and in India. We bring in and publish data from numerous internal and external sources, which are used by various stake holders throughout the Devices and Services organization.

Basic Qualifications

5+ years of data engineering experience

Experience with data modeling, warehousing and building ETL pipelines

Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS

Experience mentoring team members on best practices

Experience with SQL

Preferred Qualifications

Experience with big data technologies such as: Hadoop, Hive, Spark, EMR

Experience operating large data warehouses

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.

4+ years of demonstrated quantitative and qualitative data experience with data modeling and ETL development.

4+ years of data modeling experience and proficiency in writing complex SQL with Redshift, Oracle, MySQL, and Columnar Databases.

Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets.

Experience with AWS services including S3, Lambda, EMR, RDS, Data-pipeline, and other data technologies.

Proficient in the composition of Advanced SQL (analytical functions) and query performance tuning skills.

Superior attention to detail, project management skills, and the ability to successfully manage multiple projects simultaneously. Experience managing competing priorities and driving projects to completion.

Ability to interact, communicate, and present with both business and technical teams. A self-starter who loves data and who enjoys spotting the trends in it!

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