Description

Sales, Marketing and Global Services (SMGS)

AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services.

AWS Partner organization(APO) is a fast growing org which supports a number of personas including but not limited to Sellers, Partners, Partner Development Managers and AWS Marketplace. APO team is driven by the mission to provide best partner experience worldwide and create a better future for our customers and communities through a culture of Customer obsession, innovation and a relentless pursuit of excellence. Partner Intelligence is the Data and Analytics org within APO supporting all the Data initiatives.

As a Data Engineer on the AWS Partner Intelligence team, you will work directly with Software Engineering, Business Intelligence, Data Science and Product teams to continuously improve our of data infrastructure, design, tools and pipelines. Your work will directly influence and drive organizational insights, customer facing features and machine learning models.

To be successful in this role, you should have strong database design skills, comfort with large data sets and an eagerness to invent. You should have a passion for data and analytics with the technical skills needed to build for scale and automation.

Key job responsibilities

• Architecture design and implementation of next generation data pipelines and BI solutions

• Manage AWS resources including EC2, RDS, Redshift, Kinesis, EMR, Lambda etc.

• Build and deliver high quality data architecture and pipelines to support business analyst, data scientists, and customer reporting needs.

• Interface with other technology teams to extract, transform, and load data from a wide variety of data sources

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

A day in the life

• Collaborate with Software Engineers, Product Managers, Data Scientists and Business Intelligence Engineers to design, plan and deliver on high priority data initiatives serving internal stakeholders and AWS customers.

• Build automated, fault tolerant and scalable data solutions leveraging state of the art technologies including but not limited to Spark, EMR, Python, Redshift, Glue and S3.

• Look around corners and be creative - Continuously evaluate and improve our strategy, architecture, tooling and codebase to maximize performance, scalability and availability.

About the team

ABOUT AWS:

Diverse Experiences

Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Why AWS

Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Work/Life Balance

We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

Inclusive Team Culture

Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

Mentorship and Career Growth

We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

We are open to hiring candidates to work out of one of the following locations:

Austin, TX, USA | New Jersey, NJ, USA | Seattle, WA, USA

Basic Qualifications

• 1+ years of data engineering experience

• Experience with data modeling, warehousing and building ETL pipelines

• Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)

• Experience with one or more scripting language (e.g., Python, KornShell)

Preferred Qualifications

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

• Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.

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 $91,200/year in our lowest geographic market up to $185,000/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.