Senior Data Engineer, Ring Data Science and Engineering
Come build the future of smart security with us. Are you interested in helping shape the future of devices and services designed to keep people close to what’s important?
ABOUT RING
We started in a garage in 2012 when our founder asked a simple question: what if you could answer the front door from your phone? What if you could be there without needing to actually, you know, be there? After many late nights and endless tinkering, our first Video Doorbell was born.That invention has grown into over a decade of groundbreaking products and next-level features. And at the core of all that, everything we’ve done and everything we’ve yet to build, is that same inventor's spirit and drive to bridge the distance between people and what they care about.
Whatever it is, at Ring we’re committed to helping you be there for it. (https://www.ring.com)
ABOUT THE ROLE
The Senior Data Engineer within Ring Data Science and Engineering plays a pivotal role in shaping how we architect analytics and data science solutions to operate data-driven decision making at scale across all business units, carry the voice of our customers, inform business and product strategy with data, and provide a quality data foundation for AI.
Key job responsibilities
We are seeking an experienced Senior Data Engineer to lead the technical designs of the data pipelines critical to business goals within the Ring Data Science and Engineering org. In this role, you will:
- Own the design, development, and maintenance of scalable solutions for ongoing metrics, reports, analyses, dashboards, etc. to support analytical and business needs.
- Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using AWS services and internal tools.
- Design efficient and scalable data warehouse models.
- Be responsible for design and code reviews.
- Build and deliver high quality data sets to support data scientists and customer reporting needs.
- Drive improvements in automation and quality.
- Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers.
- Find and create ways to measure the customer experience to drive business outcomes.
- Recognize and adopt best practices in data engineering: integrity, design, analysis, validation, and documentation.
- Troubleshoot operational quality issues.
- Review and audit existing jobs and queries.
- Recommend improvements to back-end sources for increased accuracy and simplicity.
A day in the life
As a Senior Data Engineer, you will be responsible for leading the design and development of data pipelines and collaborating with multiple teams of data, business intelligence, software, and systems development engineers. You will architect and implement new and automated Business Intelligence solutions, including big data and new analytical capabilities that support our business intelligence and business stakeholders with timely, actionable data, metrics and reports while satisfying scalability, reliability, accuracy, performance and budget goals and driving automation and operational efficiencies for data warehouses.
You will partner with business leaders to translate business requirements into technical designs and implementing or mentoring team members to implement scalable solutions against those designs. You will work backwards from the customer to ideate, validate, and execute business opportunities at the forefront of the data engineering landscape.This will include overseeing the regular application of techniques involving extracting, transforming, and loading very large datasets, architecting data platforms for feature performance, maintainability, and scale, measuring and improving data quality, and driving measurable business impact.- 5+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience mentoring team members on best practices
- Expert-level skills in writing and optimizing SQL.
- 2+ years development experience in python or similar scripting language for automation.
- 3-4+ years of work experience with ETL, Data Modeling, and Data Architecture with terabytes of data.
- 1+ years experience working with distributed computing and associated technologies such as Spark, EMR, etc.
- 2+ years experience with Redshift. Tangible experience working with Redshift Spectrum, AWS Glue, and S3.- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience operating large data warehouses
- 5+ years of work experience with ETL, Data Modeling, and Data Architecture.
- Experience or familiarity with newer AWS data and analytics tools such as AWS Lake Formation, Sagemaker, DynamoDB, Lambda, Kinesis, ElasticSearch.
- 2-3+ years experience working with core AWS data and analytics services. Understand of the applicability, limitations, and tradeoffs between a wide set of AWS database and analytics technologies.
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.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies.Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation.
Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $139,100/year in our lowest geographic market up to $240,500/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.