Senior Data Engineer, Ring Data Science and EngineeringJob ID: 2869261 | Amazon.com Services LLC
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 RINGWe 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.
At Ring we're committed to helping you be there for it.
ABOUT THE ROLEThe 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.
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.Identify opportunities to leverage AI for increased productivity.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. BASIC QUALIFICATIONS- Bachelor's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent
- 5+ years of data engineering experience
- 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
PREFERRED QUALIFICATIONS- 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.
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