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Ideally you have an in-depth understanding of streaming data technologies like Amazon Kinesis or Apache Kafka, and experience with open-source data processing frameworks like Apache Spark, Apache Flink, or Apache Storm.
$134,500 - $261,500 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Build, configure, coordinate and monitor production critical application servers using technologies including VMware, nginx, squid, apache, docker, OpenShift, and other open-source, 3rd party and proprietary software.
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Expert-level experience with Docker, Scala, Spark and Databricks. AWS (ECS, MSK, S3, Lambdas, ALB), Docker, Kafka, Kafka Streams, Spring, Rest services, Scala, CICD, Unit tests. On the Vision team within Disney, you’ll be helping collect data across platforms including ESPN, National Geographic, ABC News, Marvel and more.
$149,240 - $209,660 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Minimum 2+ years of experience with big data technologies - Hadoop (Pig, Hive), noSQL/SQL databases, parallel processing techniques, Apache Spark, Snowflake, Alteryx, and Informatica Cloud.
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Direct hands on experience with highly scalable data pipelines using BigData technologies (Spark, Hive, Airflow, DBT, Parquet / ORC, Kafka / Streaming, etc) Distributed Compute: Spark/Databricks.
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Java, Python, Go, and Rust Familiar with Unix/Linux system internals, networking, and distributed systems [Preferred] Experience in MySQL, Redis, Ngnix, Kubernetes, Docker, OpenStack, Hadoop, Spark, Flink, etc.
$129,960 - $246,240 a yearExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Experience with API-First development and designing scalable APIs. Knowledge of containerization (e.g., Docker, Kubernetes). Oversee the implementation of Spring Boot, Angular/React JS, Kafka, NoSQL databases, open-source RDMS, Databricks, Kubernetes.
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3+ years of big data development experience with technical stacks like Spark, Flink, Singlestore, Kafka, Nifi and AWS big data technologies. js, Vue.js, Angular, etc.) Demonstrated ability with cloud infrastructure technologies, including Terraform, K8S, Spinnaker, IAM, ALB, and etc.
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Familiarity with Apache Hudi, Apache Beam, Apache Flink, Google Cloud Dataflow, Amazon Kinesis Data Analytics, and/or Azure Databricks. Experience with data integration tools like Apache Kafka, Flume, and NiFi.
$87,000 - $150,000 a yearFull-timeExpandApply NowActive JobUpdated 6+ months ago - UpvoteDownvoteShare Job
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3+ years of experience SQL/Teradata as well as modern analytical systems in Azure ecosystem, Spark SQL, PySpark. Hands-on experience with analytics and big data technologies within Microsoft Azure, with experiences in tools such as Azure Data Factory, Azure Machine Learning, Azure Cognitive Services, Azure Databricks and Azure Synapse Analytics.
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Our Tech Stack: Python, Flask, React with Remix and Chakra UI, Vue.js, GCP, Elasticsearch, Redis, SaaS, CloudSQL/MySQL, Terraform, OpenTelemetry, Docker, Kubernetes, Splunk, SignalFx, Sentry, New RelicWho you areWe recognize that there are a variety of personalities and work styles.
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Balancing the nimble spirit of a startup with the powerhouse soul of Publicis Media, Spark Foundry delivers the best of both worlds to a client roster that spans some of the worlds best and most beloved brands and companies.
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Strong proficiency with AWS cloud infrastructure services and the integration of these services, Infrastructure as Code (Terraform, CloudFormation) principles, CI/CD methodologies, and containerization (Docker.
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2+ years of experience working with container technologies (Docker, Kubernetes, or Helm) 8+ years of experience with front-end JavaScript frameworks (e.g., Angular, React, Vue.js, Ember etc.) Our 10-year commitment to invest more than $1 billion in pro bono services brings our talent, expertise, and insight to organizations tackling today’s urgent challenges in education, racial equity, social justice, economic development, and the environment.
$225,750 - $271,250 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Docker & Docker Machine Management: Oversee Docker images and containers, ensuring they meet application requirements and are optimized for performance. Applications are written in Python using AWS-native infrastructure and tools, including SageMaker, Lambda functions, API Gateway, Kubernetes (ECS, EKS) etc; and deployment of AI/ML models that are embedded into web applications and data science workflows.
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