Clients Analytical Platform is an ecosystem, which integrates business events from the various source system, schematise them into object model and persist them in a query-able profile data structure.
We are responsible for developing and building Analytical and Reporting solutions, Provide data to internal applications and external vendors, and partner with the Business and Data Science teams to improve business performance.
A day in the life of an Engineer on the team…
✔ Design, develop, test, and debug large scale complex platform using big data technologies
✔ Create high-performance Nordstrom data analytics platform
✔ Possesses deep proficiency in engineering best practices
✔ Support the development and evolution of Biddata platform and data warehouse
✔ Partner with other Technology teams, Program, and Product on building a best-in-class suite of tools and reporting mechanisms to bring the most salient, insightful data more directly into key business functions
✔ Take part in the production support
✔ Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets
✔ One or more of the following data processing technologies: Hadoop Map Reduce, Spark, Kafka Streams, Flink, Storm, Apache Beam
✔ Good object-oriented design and development skills
✔ Some Experience with Kafka, Presto, Hive, Impala or similar SQL based engine for Big Data
Nice to have:
✔ Cloud Experience
✔ Kubernetes Experience
✔ Understanding of automation and orchestration platforms such as Airflow
✔ Understanding of various data formats such as JSON, Parquet, Avro, ORC
✔ Good SQL writing skills
✔ Good DW experience
Please send your CV with tagging the vacancy headline to email@example.com and we’ll get back to you for more information!
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