Amazon Senior Data Engineer Ring Science Engineering 

United States, California, Hawthorne 

561891324

ABOUT RINGABOUT THE ROLEKey job responsibilities
We are seeking an experienced Senior Data Engineer to lead the technical designs of data lakes, data warehouses, and data pipelines 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.
* 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.A day in the life

- 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

- 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.