Job Information
Amazon Data Engineer II (L5), PXT PeopleInsight in Seattle, Washington
Description
Are you driven by the excitement of unraveling intricate data puzzles? Does your DNA resonate with collaborative problem-solving? Do you thrive on witnessing the ripple effects of your contributions in the larger scheme of things? If you've nodded along to any of these questions, welcome to our PeopleInsights team! We're not just a team; we're a dynamic cohort of engineers dedicated to leveraging cutting-edge innovations for Amazon's PXT Business Analytics tools and software. Together, we confront tangible challenges head-on, poised to revolutionize customer experiences in unforeseen ways. Every day, we embark on a journey of invention, pioneering fresh solutions that shape tomorrow's landscape.
The PeopleInsight (PI) team is the driving force behind four customer-facing products (Clarity, Engage, Connections, and Shout-Outs), as well as a comprehensive people data store collating information from over 60 Amazon systems. Our mission is clear: to harness the power of people data and empower PXT and people leaders to make decisions that steer Amazon towards its goal of becoming Earth’s Best Employer. We specialize in building features that streamline data gathering and analysis for PXT users, freeing up more time for action and removing barriers for Amazonians.
We are currently seeking a talented and motivated data engineer to lead the design, development, and testing of data pipelines and a centralized data store for people metrics data. Within the PI data services team, you will champion frameworks that empower our internal customers to seamlessly create data pipelines and ETL workflows. The ideal candidate possesses a robust understanding of data modeling concepts, complemented by a foundational grasp of Data Structures. Continual acquisition of expertise, iterative approaches, and adaptability are key facets of this role. We seek individuals deeply committed to pragmatic problem-solving and unafraid to pioneer new territories. Your ability to craft extendable designs and maintainable technical solutions while keeping long-term visions in focus will be paramount. If you can dream it and justify it, we're ready to explore it together. Join PeopleInsight, where we equip you with the tools and encouragement to co-create in an environment that's not just rewarding and fulfilling, but also incredibly fun.
Key job responsibilities
Design and build business critical, highly available data pipelines in a stable, low cost model.
Prototype and test concepts in technology and use case intersection to propose designs in Data Engineering, Business Intelligence and Data Science space.
Design software with quality, robustness and Amazon sized scale as top priorities.
Internalize our customer challenges and derive creative solutions which apply new and innovative technology.
Work directly with customers to integrate new data types, equipment, and incorporate feedback.
Help continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers.
Apply software best practices including coding standards, code reviews, source control management, agile development, build processes, and testing.
Actively support and foster a culture of inclusion.
We are open to hiring candidates to work out of one of the following locations:
Seattle, WA, USA
Basic Qualifications
3+ years of data engineering experience
Experience with data modeling, warehousing and building ETL pipelines
2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc.
1+ years of experience with at least one of the modern programming language such as C++, C#, Java, Python, Go-lang, JS, Ruby.
Experience working on and delivering end to end projects independently.
Basic knowledge of distributed systems as it pertains to data storage and computing.
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)
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 $105,700/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.