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Our business reach spans satellite television service, live-streaming and on-demand programming, smart home installation services, mobile plans and products, and now we are building America’s First Smart NetworkTM.Today, our brands include EchoStar, Hughes, DISH TV, Sling TV, Boost Infinite, Boost Mobile, DISH Wireless, OnTech and GenMobile.
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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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You are skilled at crafting and building robust distributed microservices with tools like Docker, Kubernetes, AWS ECS/EKS, Terraform, etc. Slack is looking for a staff software engineer to join the Data Ingestion Team. As part of the Data Engineering organization, we build and operate the platform that ingests data from various sources into our Data Warehouse with both streaming and batch approaches.
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Expertise in developingapplication integration solutions using tools such asWorkato, Oracle Integration Cloud (OIC), Mulesoft, oncloud serviceproviderslike AWS/Azure, as demonstrated by architecting and delivering a complex integration solution.
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Familiarity with cloud deployments (Docker, AWS EC2/ECS, Google Cloud Compute/Storage) The Streaming Media Engineer is responsible for architectural design, implementation, and documentation of an on-prem and cloud-based live ABR video encoding environment.
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Stream processing services such as Kafka, AWS Kinesis, Apache Storm, Spark Streaming, Azure Event Hub, etc. Experience in any big data technologies - Hadoop, EMR, Amazon Redshift, Azure CosmosDB, Azure Data Lake, AWS DynamoDB, or advanced analytics tools.
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Our business reach spans satellite television service, live-streaming and on-demand programming, smart home installation services, mobile plans and products, and now we are building America’s First Smart Network.
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Design and deliver solutions to support real-time factory data streaming, events & condition monitoring, and predictive maintenance. Experience with data warehousing in any cloud framework (Azure, AWS, GCP, etc.
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Collaborate with Architecture, Infrastructure and Data Science teams to translate their needs or challenges into production-grade Artificial Intelligence and Machine Learning deployment architectures for batch, real-time streaming deployments.
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5+ Years hands on solid Experience on AWS services like S3, EMR, VPC, EC2, IAM, EBS, RDS, Glue, Lambda, Lake Formation etc. In depth understanding of Spark Architecture including Spark Code, Spark SQL, Data frames, Spark Streaming, Spark MLiB, etc.
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Kora: A Cloud-Native Event Streaming Platform For Kafka ( + Experience/knowledge with public clouds (AWS, Azure or GCP) Have you ever found a new favorite series on Netflix, picked up groceries curbside at Walmart, or paid for something using Square.
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Develop reusable data integration and streaming platforms using Python or other comparable languages. Git, CI/CD workflows, AWS services, containerization (Docker), and orchestration tools.
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EDUCATION/REQUIREMENTS: Bachelor’s degree (or foreign equivalent), in Computer Science, Computer Information Systems, Engineering, Mathematics or related field and 3 years of experience utilizing programming languages for development including Scala; utilizing AWS cloud technologies like EMR, ECS, ElasticCache, Dynamodb and S3.
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Segmentation analysis, reporting, product affinity, and customer profiling analysis; Work with unstructured data sets and cleanse that data to make business recommendations using various tools like AWS, Teradata, and SQL server.
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We need a resource to perform the role of a production support engineer with experience of DevOps Tools, Unix Shell/Perl scripting, AWS Knowledge and hands-on experience in handling Tier 1 and Tier 2 level responsibilities.
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