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Data Processing/Transformations: Vector (VRL), Kafka, Apache Spark, and or general ETL applications & approaches. Cloud Data Management: S3, Glacier, Glue Catalog, and/or Azure Blob.
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Aerospace Engineering, Automotive Engineering, Biomedical Engineering, Chemical Engineering, Computer Engineering, Engineering, Engineering Mechanics, Engineering Physics, Industrial and Operations Engineering, Industrial Engineering, Materials Science and Engineering, Mechanical Engineering, Production Engineering, Project Engineering & Management, Biomedical Science, Computer and Information Science, Data Processing/Analytics/Science.
Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Our people extend into all industries we conduct work with our clients in the areas of; data science, data engineering, data strategy, intelligent process automation, data ecosystems, intelligent industry/IoT, enterprise management, customer-first marketing, and data partnerships/disruptors (such as SAP, Microsoft, Google, AWS, Snowflake, Oracle, Adobe, etc.
Full-timeExpandApply NowActive JobUpdated 30 days ago - UpvoteDownvoteShare Job
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In addition to processing TBs a day of 1st party user activity data, we manage a petabyte scale data lake and data warehouses that several hundred consumers use daily. In this role, you will join a team focused on Core Data Engineering, helping build and analyze business-critical datasets that fuel Tubi's success as a leading streaming platform.
InternExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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The ideal candidate has a strong software engineering background and problem-solving ability along with cloud computing (AWS) and data engineering skill set with prior experience on technologies such as Snowflake, Airflow, dbt, Kafka, Spark, Dask, Python, and Tableau.
$82 - $123 an hourFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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You will lead teams in natural language processing, speech recognition, dialog management, and general machine learning with a focus on high availability, scale, and product impact. As a Head of Machine Learning Engineering, you will be leading and growing a talented team of machine learning engineers and distributed systems engineers building Twilio’s next generation machine learning products.
$250ExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Experience with data processing technologies Kafka, Kinesis, Spark, Flink, or other open-source or commercial software. As one of Benchling’s Data Platform engineers, you’ll join a rapidly growing, premier engineering team and form the foundation of our data pillar, encompassing customer-facing data products, internal analytics, and the customer-facing data warehouse.
$200ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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As the Manager of Process Operations you will manage a group of Process Engineers responsible for all aspects of process improvement throughout the facility: technical training, increasing throughput, decreasing downtime/stops, improving work process inefficiencies, managing and improving Data Management Systems, eliminating other wastes, etc.
$101,000 - $180,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Hands-on experience with big data systems like Apache Spark, Apache Flink, and Apache Kafka, including building and optimizing data processing pipelines. Design and implement innovative solutions for streaming data processing, addressing challenges like data skew and out-of-order events, using Apache Flink.
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Comfortable working directly with data analytics to bridge Lyft’s business goals with data engineering. You’ll have ownership of our core data pipeline that powers Lyft’s top-line metrics; You will also use data expertise to help evolve data models in several components of the data stack; You will help architect, building, and launching scalable data pipelines to support Lyft’s growing data processing and analytics needs.
$124,000 - $155,000 a yearFull-timeExpandApply NowActive JobUpdated 28 days ago - UpvoteDownvoteShare Job
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Work collaboratively with business, engineering, architect, developer, data, legal, UI/UX, and other teams to deliver cutting-edge technologies. Build cloud-based mobile and web applications using Azure and Google cloud services APIs including Artificial intelligence and Machine Learning models for Natural language processing and understanding.
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Minimum 5 years' experience in data engineering with a proven track record in the Azure ecosystem and with Azure DevOps. Manage and optimize Apache Spark pools for high-performance data processing tasks.
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The SVP, Data Engineering and Product Development is a visionary and an accomplished leader with over 10 years of experience in data engineering, product management, and delivering high-value data products and services.
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Bonus point for experience working with cloud data processing technologies (Apache Spark, Ray, Dask, Flink, etc.) You'll be part of the ML Platform team in Data Engineering, which aims to ensure healthy and fast ML in all of the 40+ ML use cases across Pinterest.
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Demonstrating relevant project management experience in organizing and leading teams including Big data engineering (Hadoop, Spark, Scala, Kafka) and ETL pipeline development (tools: IICS/AWS Glue/SAP BODS/ SSIS/SnapLogic); preferable in P&C Insurance data warehouse.
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data engineering management processing jobs in San Francisco, CA
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