Easter Seals Jobs

Description

Are you interested in applying your background in data engineering to impact the lives of millions of Amazon customers?

Do you like to own end-to-end business problems, and directly impact the profitability of the company?

Do you like to innovate, and simplify?

If yes, then you may be a great fit to join the WW Promotions team at Amazon.

Our vision is simple - we want to run the best promotions in the industry. Through technology, we seek to constantly increase the quality of promotions by identifying the best set of products to promote from the millions we carry, best promotion type that meets our business objectives, and learning from the performance of our past promotions.

Key job responsibilities

As a member of our team, you should have deep expertise in the design, processing, management, and business use of large datasets, across a variety of data platforms. You should have excellent functional, technical, and interpersonal skills to be able to work with customer teams to understand data requirements, and to build data pipelines to ingest, and enable analytics at scale. You should be an authority at crafting, implementing, and operating stable, scalable, low cost solutions to create necessary data flows. Above all you should be passionate about working with huge data sets and someone who loves to bring data streams together to inform business decisions and drive growth. You will also lead design reviews, guide and advise senior leadership on the ideal technical solutions to complex business problems. This position also requires working closely with other data teams within Amazon.

About the team

Our team is dedicated to supporting new members. We have a broad mix of experience levels and skills including Software Engineering, Big Data Engineering and Applied Science. We are building an environment that celebrates knowledge sharing. We care about your career growth, and strive to assign projects based on what will help each team member develop into a better-rounded professional, and enable them to take on more complex tasks in the future.

Basic Qualifications

• 5+ years of data engineering experience

• Experience with SQL

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

Preferred Qualifications

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

• Experience building data products incrementally and integrating and managing data sets from multiple sources

• Experience with MPP databases such as Amazon Redshift

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, disability, age, or other legally protected status. If you would like to request an accommodation, please notify your Recruiter.

The base salary for this position ranges from $135,700/year up to $226,500/year. Salary is based on a number of factors 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. Applicants should apply via our internal or external career site.