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Adobe
Seattle, WA, United States
Our Company Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies int
Job Source: AdobeAmazon
Seattle, WA, United States
Sr. Data Engineer, Sales Insights and Data Science Amazon Web Services (AWS) provides companies of all sizes with an infrastructure web services platform in the cloud (“cloud computing”). With AWS, you can procure compute power, storage, and many other services – gaining access to a suite of elastic IT infrastructure services as your business dema
Job Source: AmazonAmazon
Seattle, WA, United States
Description Amazon Web Services (AWS) provides companies of all sizes with an infrastructure web services platform in the cloud (“cloud computing”). With AWS, you can procure compute power, storage, and many other services – gaining access to a suite of elastic IT infrastructure services as your business demands them. AWS is the leading platform f
Job Source: AmazonAmazon Web Services (AWS)
Seattle, WA, United States
Description Amazon Web Services (AWS) provides companies of all sizes with an infrastructure web services platform in the cloud (“cloud computing”). With AWS, you can procure compute power, storage, and many other services – gaining access to a suite of elastic IT infrastructure services as your business demands them. AWS is the leading platform f
Job Source: Amazon Web Services (AWS)Boeing
Seattle, WA, United States
Data Science Engineer (Associate or Mid-Level) Company: The Boeing Company Job ID: 00000421274 Date Posted: 2024-04-29 Location: USA - Seattle, WA Job Description Qualifications: Join an exciting and growing team in performing complex data analysis of aviation data. As modern aircraft produce increasing amounts of data in operations and m
Job Source: BoeingMicrosoft
Redmond, WA, United States
We are looking to hire a Data Science Engineer to join our team. As part of Microsoft Azure, the Azure Networking team designs and builds the network infrastructure that powers hundreds of thousands of servers in datacenters around the globe, providing network infrastructure services for Azure, Bing, and other Microsoft cloud services. In Azure Net
Job Source: MicrosoftBoeing
Seattle, WA, United States
Data Science Engineer (Associate or Mid-Level) Company: The Boeing Company Job ID: 00000421274 Date Posted: 2024-04-29 Location: USA - Seattle, WA Job Description Qualifications: Join an exciting and growing team in performing complex data analysis of aviation data. As modern aircraft produce increasing amounts of data in operations and m
Job Source: BoeingMicrosoft Corporation
Redmond, WA, United States
We are looking to hire a Data Science Engineer to join our team. As part of Microsoft Azure, the Azure Networking team designs and builds the network infrastructure that powers hundreds of thousands of servers in datacenters around the globe, providing network infrastructure services for Azure, Bing, and other Microsoft cloud services. In Azure Net
Job Source: Microsoft CorporationSeattle, WA, United States
Our Company Changing the world through digital experiences is what Adobe's all about. We give everyone-from emerging artists to global brands-everything they need to design and deliver exceptional digital experiences! We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen. We're on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours! The Opportunity Are you driven to use your expertise in data science engineering to drive the next stage of growth at Adobe? The Customer Analytics & GTM team is focused on using the power of data to deliver optimized experiences through personalization. This role will drive data engineering for large-scale data science initiatives across a wide variety of strategic projects. As a member of the Data Science Engineering team, you will have significant responsibility to help build large scale cloud-based data and analytics platform with enterprise-wide consumers. This role is inherently multi-functional, and the ideal candidate will work across teams. The position requires ability to own things, come up with innovative solutions, try new tools, technologies, and entrepreneurial personality. Come join us for a truly exciting career, best benefits and outstanding work life balance. What you will do Build fault tolerant, scalable, quality data pipelines using multiple cloud- based tools. Deliver End to End Data Pipelines to run Machine Learning Models in a production platform. Innovative solutions to help broader organization take significant actions fast and efficiently. Chip in to data engineering and data science frameworks, tools, and processes. Implement outstanding data operations and implement standard methodologies to use resources in an optimum way. Architect data ingestion, data transformation, data consumption, data governance frameworks. Help build production grade ML models and integration with operational systems. This is a high visibility role for a team which is on a critical mission to stop software privacy. A lot of collaboration with global multi-functional operations teams is required to onboard the customers to use genuine software. Work in a collaborative environment and contribute to the team as well as organization's success. What you will need Bachelor's degree in computer science or equivalent. Master's degree is preferred. 8+ years of proven track record as a data engineer. 5+ years validated ability in distributed data technologies e.g., Hadoop, Hive, Presto, Spark etc. 3+ years of experience with Cloud based technologies - Databricks, S3, Azure Blob Storage, Notebooks, AWS EMR, Athena, Glue etc. Familiarity and usage of different file formats in batch/streaming processing i.e., Delta/Parquet/ORC etc. 2+ years' experience with streaming data ingestion and transformation using Kafka, Kinesis etc. Outstanding SQL experience. Ability to write optimized SQLs across platforms. Hands-on experience in Python/PySpark/Scala and ability to manipulate data using Pandas, NumPy, Koalas etc. and using APIs to transfer data. Experience working as an architect to design large scale distributed data platforms. Experience with CI/CD tools i.e., GitHub, Jenkins etc. Working experience with Open- source orchestration tools i.e., Apache Air Flow/ Azkaban etc. Teammate with excellent communication/teamwork skills when it comes to closely working with data scientists and machine learning engineers daily. Hands-on work experience with Elastic Stack (Elastic, Logstash, Kibana) and Graph Databases (neo4j, Neptune etc.) is highly desired
Email Alert for Sr Data Science Engineer jobs in Seattle, WA, United States
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