What are the responsibilities and job description for the Data Engineer, Amazon Robotics (AR) position at Amazon?
DESCRIPTION
Working at Amazon Robotics
Are you inspired by invention? Is problem solving through teamwork in your DNA? Do you like the idea of seeing how your work impacts the bigger picture? Answer yes to any of these and you’ll fit right in here at Amazon Robotics. We are a smart, collaborative team of doers that work passionately to apply leading-edge advances in robotics and software to solve real-world challenges that will transform our customers’ experiences in ways we can’t even imagine yet. We invent new improvements every day. We are Amazon Robotics and we will give you the tools and support you need to invent with us in ways that are rewarding, fulfilling and fun.
Key job responsibilities
- Implement solutions for data storage, reporting, science and analytics.
- Incorporate big data solutions to enhance machine learning, analytics and reporting capabilities.
- Monitor and troubleshoot operational or data issues in the data pipelines.
- Setup internal dashboard tools for data visualization
- Work across teams to gather requirements for data logging, storing, transforming, and reporting, and build scalable solutions.
A day in the life
At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!
Benefits Summary:
Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:
1. Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan
Learn more about our benefits here: https://amazon.jobs/en/internal/benefits/us-benefits-and-stock
About the team
The Science Tooling And Research (STAR) team builds and runs simulation experiments and delivers analyses that are central to understanding the performance of the entire AR system. This includes operational and software scaling characteristics, bottlenecks, and robustness to “chaos monkey” stresses -- we inform critical engineering and business decisions about Amazon’s approach to robotic system. We are seeking a Data Engineer to automate the pipeline and tools we support for generating data insights. As a Data Engineer, you will be responsible for the design and development of the data, metrics and reporting platforms for our team. You will implement new and automated data solutions, including big data capabilities, that support our scientists, analysts, and engineers, with large-scale data for training machine learning models, enabling metrics to evaluate their worthiness, while satisfying scalability, reliability, accuracy, performance and budget goals and driving automation and operational efficiencies.
BASIC QUALIFICATIONS
- 2 years of data engineering experience
- 2 years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Knowledge of distributed systems as it pertains to data storage and computing
- Experience with data modeling, warehousing and building ETL pipelines
- Experience working on and delivering end to end projects independently
- Experience programming with at least one modern language such as C , C#, Java, Python, Golang, PowerShell, Ruby
- Experience with Redshift, Oracle, NoSQL etc.
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)
- Knowledge of batch and streaming data architectures like Kafka, Kinesis, Flink, Storm, Beam
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.
