Easter Seals Jobs

Description

Do you have a desire to make a major contribution to the future in the rapid growth environment of Cloud Computing? Are you passionate about data and code? Does the prospect of dealing with massive volumes of data excite you? Do you want to build data engineering solutions that process millions of records? Amazon Web Services is looking for a Data Engineer to help build a scalable, secured and robust data infrastructure that supports the AWS Infrastructure Services & Supply Chain Finance (AISSCF) organization. You will be part of the AISSCF Analytics team working with other Data Engineers, Business Intelligence engineers, Product managers and partner with finance/business stakeholders to achieve our goals.

Key job responsibilities

• Design, implement, and support a platform providing secured access to large datasets.

• Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions.

• Tune application and query performance using profiling tools and SQL.

• Analyze and solve problems at their root, stepping back to understand the broader context.

• Learn and understand a broad range of Amazon’s data resources and know when, how, and which to use and which not to use.

• Keep up to date with advances in data technologies and run pilots to design the data architecture to scale with the increased data volume using AWS.

• Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for datasets.

• Triage many possible courses of action in a high-ambiguity environment, making use of both quantitative analysis and business judgment.

• Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.

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.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118,900/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.