- Disney Entertainment (Seattle, WA)
- …+ Experience deploying and maintaining pipelines (AWS, Docker, Airflow) and in engineering big - data solutions using technologies like Databricks, S3, and Spark + ... As part of this team, you will collaborate with Engineering, Product, and Data teams to apply machine learning techniques to achieve strategic personalization goals.… more
- Insight Global (Seattle, WA)
- Job Description An employer is looking for a Sr. Data Engineer in the Seattle, WA area. This entertainment company is looking for a Sr. Data Engineer to ... if you have an expertise in Python for developing ETL pipelines, data warehousing, and some cloud...integrating and managing datasets from multiple sources. Experience with Big Data Technologies (Hadoop, Hive, Hbase, Pig,… more
- Disney Entertainment (Seattle, WA)
- …review the designs and implementations of scalable data warehousing solutions, building ETL pipelines in Big Data environments (cloud, on-prem, hybrid) + ... both batch and real-time data processing, and working across software and data disciplines to engineer solutions. Our tech stack includes primarily utilizes… more
- Healthfirst (WA)
- …on data engineer is a must. **Preferred Experience:** + AWS Big Data Certification (or equivalent) + Experience implementing cloud services with an ... **Key Responsibilities** : + Architect and Design the Data Lakehouse: Lead the design and implementation of...using AWS services like Glue, EMR, and Lambda for ETL processes, and possibly Redshift or Athena for query… more
- Amazon (Seattle, WA)
- …experience, and topline performance. The ideal candidate will be passionate about working with big data sets and have the expertise to utilize these data ... the industry operates. We are hiring a Business Intelligence Engineer (BIE) to join the Fashion & Fitness Category...using Tableau, Quicksight, or similar tools - Experience with data modeling, warehousing and building ETL pipelines… more
- Amazon (Bellevue, WA)
- …as our biggest advantage. We aim to leverage cutting edge technologies in big data , machine learning, optimization techniques, and operate high volume, low ... Build Product adoption and usage KPIs (require integration with X+ datasets) 5. Build data pipelines 6. Maintain ETL and streaming jobs Basic Qualifications -… more