Job Description

DESCRIPTION

We are actively seeking a motivated and multi-talented individual who is passionate, highly autonomous and have deep expertise in the design, creation, and management of large and complex datasets. You should be an authority at crafting, implementing, and operating stable, scalable solutions to flow huge amounts of data from production systems into the Redshift cluster, and build complex transforms to compute and store new data developed by the software teams.

Key job responsibilities
As Data Engineer, you develop, review technical design of and enhance data management solutions supporting the reporting Tools. You should excel in the design, creation, management, and business use of large data sets ,deliver data engineering initiatives and build end-to-end analytical solutions that are highly available, scalable, stable, secure, and cost-effective.

A day in the life
- Develop new data engineering patterns that leverage new cloud architectures
- Build and deliver high quality data solutions to support data scientists, engineers and analysts.
- Interface with software development teams to extract, transform, and load data from a wide variety of data sources.
- You will work closely with the Business Intelligence Engineers, Product Managers, Software Development teams and other business stakeholders on many non-standard and unique business problems and use creative problem solving to deliver actionable output in data gathering, transformation, ingestion and storage.

About the team
Amazon Key team’s mission is to provide Amazon with 1-click access to every customer's doorstep. We are inventing the next-generation smart delivery operation technologies in IoT (Internet-of-Things). We develop technology-based solutions matching customer needs and delivery capacity with precision and efficiency, and expanding and transforming delivery experience with unprecedented quality, productivity and scale.

BASIC QUALIFICATIONS

- 3+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with SQL
- Bachelor's degree
- 3+ years of non-internship professional industry experience in software development, data engineering or related field with a track record of manipulating, processing, and extracting value from large datasets
- Experience in one or more of: Python, R, Bash, or other scripting language

Job Tags

Full time,

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