Data Engineer (вакансія неактивна)

Since its founding in 2013, Amazon Ring has been on a mission to make neighbourhoods safer. From the video doorbell to the DIY Ring Alarm system, Ring’s smart home security product line offers users affordable whole-home and neighbourhood security. At Ring, we are committed to making home and neighbourhood security accessible and effective for everyone — while working hard to bring communities together. Ring is an Amazon company. For more information, visit www.ring.com. With Ring, you’re always home.

As a Data Engineer at Ring AI Data Management, you will be working in one of the largest and complex data warehouse environments. You will lead the design and implementation of the architecture of DW solutions for the Enterprise using multiple platforms (RDBMS, Columnar, and Cloud). You will apply daily your experience in the design, creation, management, and business use of extremely 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

Basic qualifications:

• Degree in Computer Science, Engineering, Mathematics, or a related field
• 5+ years industry experience
• Experience in data modelling, data warehousing and building ETL pipelines
• Data Warehousing Experience with Redshift, Teradata, etc.
• Experience with Big Data Technologies (Spark, Hadoop, Hive, Pig, etc.)

Preferred qualifications

• Industry experience as a Data Engineer or related specialty (e.g., Software Engineer, Business Intelligence Engineer, Data Scientist) with a track record of manipulating, processing, and extracting value from large datasets
• Experience with AWS, including Redshift, S3, RDS, Elastic MapReduce (EMR), Athena
• Coding proficiency in at least one modern programming language (Python, Scala, Java etc.)
• 5+ years of designing ETL/ELT workflows and proficiency in scripting (writing complex SQL with PostgreSQL, Redshift or other RDB)
• 3+ years of data modelling experience and data warehouse technical architectures, reporting/analytic tools
• Proficient in handling big data volumes, composition of advanced SQL and query performance tuning skills
• Experience with workflow management platforms for data engineering pipelines (ex. Apache Airflow) is a plus
• 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
• A desire to work in a collaborative, intellectually curious environment

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