Data Engineer, DP&I - Data Platform

Dallas, TX, United States

This inclusive employer is a member of myGwork – the largest global platform for the LGBTQ+ business community.

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.

Are you interested in building high-performance, scalable services for the Data Platform that support Amazon's current and future growth? Are you seeking an environment where you can drive innovation by leveraging the scalability and innovative capabilities of Amazon's AWS cloud services? Does the opportunity to work on the latest technology architectures like HTAP systems, Data-Mesh architecture, and Data-Containerization excite you? Do you have a passion for ensuring a positive customer experience? If so, this is the job for you

We, the AWS Sales, Marketing, & Global Services (SMGS) Data Platform Team, are in the business of helping our customers securely, conveniently, and quickly manage and gain insights into the organization's Sales and Marketing data at scale. We are looking for a results-oriented, driven Big Data who can design and develop services that enable customers to self-serve data access for analytics and transaction systems on a multi-petabyte data lake. The ideal candidate thrives in a fast-paced environment, relishes working with big data, and enjoys the challenge of overly complex business contexts that are typically being defined in real-time.

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:

Dallas, TX, 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.

Knowledge of distributed systems as it pertains to data storage and computing

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 $81,000/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.

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