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Kafka, Apache Pulsar, RabbitMQ, Amazon Kinesis, Apache Flume, Apache Storm, Apache Spark Streaming, Google Cloud Pub/Sub. Kafka, Apache Pulsar, RabbitMQ, Amazon Kinesis, Apache Flume, Apache Storm, Apache Spark Streaming, Google Cloud Pub/Sub.
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With XML, JSON, Web Services, video formats, and protocols for VOD and live streaming. XML, JSON, Web Services, video formats and protocols for VOD and live streaming. with XML, JSON, Web Services, video formats, and protocols for VOD and live streaming.
Full-timeRemoteExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Pandora, a subsidiary of SiriusXM, is the largest ad-supported audio entertainment streaming service in the U.S. SiriusXM's subsidiaries Simplecast and AdsWizz make it a leader in podcast hosting, production, distribution, analytics and monetization.
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Utilize programming languages like Java, Python, SQL, Node, Go, and Scala, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, Application Architecture like microservices, API, and realtime streaming, ETL and Data Engineering technologies like PySpark, Glue, Snowflake, and a variety of AWS tools and services.
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Experience in implementing data pipelines for both streaming and batch integrations using tools/frameworks like Glue ETL, Lambda, Google Cloud DataFlow, Azure Data Factory, Spark, Spark Streaming, etc.
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Role & Responsibilities:Introducing new products via TikTok livestream○ Advising about fashion and trends○ New product lines○ Old product lines○ Creating storiesPresenting & Live Streaming: You will present mainly female fashion products and accessories through our channel on TikTok at your place.
Starting at $800 a month (commission)ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Experience with Data Ingestion/ streaming tooling such as ADF (Azure Data Factory), Kafka, Five Tran, Spark, or similar technologies. Advance experience with developing Data Pipeline, ETL/ELT, utilizing tooling of Big Data Platform, Datalake, Synapse, Airflow, AirByte, Snowflake.
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Hands-on with “Big Data” technologies with the Hadoop stack (e.g. Spark,MapReduce, Hive, Streaming) and practical experience that allows you distinguish between the implementation reality and the hype.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Extensive working experience with HDFS, Spark, Spark Streaming, Oozie, Hive, Kafka, Kafka Message Queues, Splunk, Flume, Pig, Scala, and Sqoop. Ability to investigate/research issues, determines impact, and provide solutionsStrong knowledge, implementation skills, and experience with security processes involving Java-Hadoop communication, Spark Streaming, and Kafka.
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Requirements:Confident as a presenter or actor in front of the cameraTalkative, expressive, highly coordinated, and hardworkingFamiliar with social media and active on TikTok, Instagram, or YouTubePossess extensive knowledge of fashion and beauty brands and a passion for the fashion and beauty industryPrior live streaming experience in fashion & beauty retail sales or e-commerce is preferred.
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Building data processing pipelines to integrate large datasets from multiple sources and formats, in both streaming and batch mode; Designing and developing data pipelines from ingestion to consumption within big data architecture using Python, Java, SQL etc.
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Thorough understanding of Digital video encoding and decoding transport streams such as SRT, NDI, J2K and other streaming & compression protocols and standards. Experience with a majority of the following: AutoCad 2018 or above, Microsoft Windows and Office, Microsoft Sharepoint, Lucid Charts or Microsoft Visio, non-linear editing applications (Avid, Adobe, DaVinci Resolve), media management systems, and new media encoding systems.
$98,910 - $183,690 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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3+ years’ experience in designing and implementing Big Data applications (data ingestion, real-time data processing and batch analytics) in Big Data, Spark Streaming, Kafka, Hadoop, Map Reduce, Hive.
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On our internal “Broadcast” video streaming website, you’ll find countless presentations by some of the brightest minds in computing discussing solutions to many of the exciting problems we’re solving in AWS today with new live-streaming videos added every week.
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We are looking for a motivated and self organized Machine Learning Engineer who can build and deliver state of the art batch, streaming and real time ML and AI solutions to join the Marketing program to drive powerful experiences for our users.
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streaming job in Washington, DC
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