Data Engineer, Ring AI Data Management
3 tygodni temu
Job ID: 2944541 | AMZN Dev Cntr Poland sp. z.o.o
Ring AI Data Management are seeking to hire a Data Engineer to work in one of the largest and complex data warehouse (DW) environments, to lead the design and implementation of the architecture of DW solutions for the Enterprise using multiple platforms, and to apply daily experience in the design, creation, management, and business use of large datasets.
Key job responsibilities:
- Work with engineering and business stakeholders to understand data requirements
- Lead the design, model, and implementation of large, evolving, structured and unstructured datasets
- Evaluate and implement efficient distributed storage and query techniques
- Interact and integrate with internal and external teams and systems to extract, transform, and load data from a wide variety of sources
- Implement robust and maintainable code with clear and maintained documentation
- Implement test automation on code implemented through unit testing and integration testing
The successful candidate will be on the lookout for ways to optimise the information flow process, stay on top of latest trends in data warehousing and be able to coordinate and work on multiple, related projects.
About the teamThe Ring AI Data Management team owns tools and services for Ring's growing ML-based R&D needs. The portfolio of services managed by the team comprises centralized R&D data ingestion, aggregation and building standardized data models for the performance management. We collaborate in teams dedicated to customer needs, and the services powering them. We lean towards bias for action and quick decision making.
BASIC QUALIFICATIONS- Multiple years industry experience
- Proficiency in writing complex SQL with PostgreSQL, Redshift or other RDB
- Coding proficiency in at least one programming language: Python, Scala, Java
- Experience in data modelling, data warehousing and building ETL/ELT pipelines
- Experience with AWS, including Redshift, S3, RDS, Athena, Elastic MapReduce
- Data modelling experience and data warehouse technical architectures, reporting/analytic tools
- Degree in Computer Science, Engineering, Mathematics, or a related field
- Data Warehousing experience with Redshift, Teradata
- Experience with workflow management platforms for data engineering pipelines (ex. Apache Airflow)
- Experience with Big Data Technologies (Spark, Hadoop, Hive, Pig, etc.)
- Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets
- Experience providing technical leadership and mentor other engineers for the best practices on the data engineering space
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice to know more about how we collect, use and transfer the personal data of our candidates.
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 the Amazon hiring accommodations page for more information.
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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