DESCRIPTION
How often have you had the opportunity to be a member of a team that is tasked with solving a huge everyday problem through innovative technology? Would you like to know more about how we are using the internet of things (IoT) to transform and disrupt an entire industry? If this sounds intriguing, then we’d like to talk to you about a role on the Key for Business team tackling a set ... of problems requiring significant innovation.
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
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.
. 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
Key for Business (KfB) team’s mission is to provide Amazon with 1-click access to every customer's doorstep. Key for Business, our patented building access technology, supports Amazon Last Mile in the US
We are open to hiring candidates to work out of one of the following locations:
Austin, TX, USA | Dallas, TX, USA | Seattle, WA, USA
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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $105,700/year in our lowest geographic market up to $205,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site
