DATA ENGINEER, AWS Training and Certification
Would you like to help the AWS Training & Certification product team build the next generation of learning experiences, and empower millions of people to develop and grow their skills on AWS? This is a unique opportunity to be a technical leader to teams building advanced learning solutions from the ground up, using modern native AWS technologies.
As a Data Engineer at AWS, you will act as a technical leader working across multiple engineering teams and projects to contribute to the system design, technology selection, software quality, and operational excellence for our current and future products and services.You will help engineers raise the bar in these and other areas by acting as a coach, mentor, and technical expert, and by helping the teams improve their engineering processes and mechanisms to achieve scale.
Specific responsibilities include the following:- Design, implement and support an analytical data infrastructure providing ad-hoc access to large datasets and computing power
- Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL and AWS big data technologies
- Managing AWS resources including Lambda, Glue, DynamoDB, LakeFormation, et cetera
- Explore and learn the latest AWS technologies to provide new capabilities and increase efficiency
- Collaborate with other tech teams to implement advanced analytics algorithms that exploit our rich datasets for statistical analysis, prediction, clustering and machine learning
- Collaborate on our technology roadmap to turn visions into reality.
Key job responsibilities
In this job, you will:- Work with business leaders, product managers, Business Intelligence Engineers, and Data Scientists to ideate business friendly software solutions.
- Design client-side and server-side architecture.
- Develop visually appealing front end website architecture, including translating designer mock-ups and wireframes into front-end code.
- Develop functional databases, applications, and servers to support websites on the back end.
- Write effective APIs.
- Test software to ensure responsiveness and efficiency.
- Troubleshoot, debug and upgrade applications.
- Create security and data protection settings.
- Build features and applications with a mobile responsive design.
- Develop technical specifications and write technical documentation
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 flexible work hours and arrangements are part of our 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.
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.- 3+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines- 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)
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 $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.