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Primary technologies used include Go, Python, Linux, Kafka, AWS, Redis, Docker, Kubernetes, Cassandra, Terraform, Envoy, Node. JS. Data Processing - experience with building and maintaining large-scale and/or real-time complex data processing pipelines using Kafka, Hadoop, Hive, Storm, or Zookeeper.
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TypeScript, Kafka, PostgreSQL, React, Ruby on Rails. Mechanical / Robotics Engineer (Full-Time) – Yummy Future. Software / Robotics Engineer (Full-Time) – Yummy Future. Vouch is looking for a Staff Software Engineer to lead the Technical Foundations Team of Vouch’s engineering organization.
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Experience with Postgres, Redis, Kafka, Airflow. Tonal’s engineering job track features five levels (Engineer, Senior Engineer, Staff Engineer, Senior Staff Engineer, and Principal Engineer) with competitive pay opportunities offered at each level.
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Data processing technologies and streaming workflows (e.g., Spark, Kafka, Flink, Beam) (Full Time) Senior Software Engineer - Streaming at TRM Labs (United States) | BEAMSTART Jobs. As a Senior Engineer on the Streaming team, you will help to build real-time streaming capabilities for TRM’s core serving layer.
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Have experience working with Redis, MongoDB, Kafka and/or PostgreSQL. More than 18,800 organizations, including JetBlue, Nordstrom, Slack, T-Mobile, Takeda, Teach for America, and Twilio, trust Okta to help protect the identities of their workforces and customers.
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Experience with big data processing technologies and databases, such as Apache Beam, Hadoop, Spark, Kafka, Pub/Sub, Dataflow, BigQuery or Bigtable. You're a self-driven, highly skilled AI Infrastructure Engineer with expertise in designing, architecting, and productizing computer vision or other AI systems in cloud and on edge.
$123,000 - $190,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Our primary developer offering is an ultra-performant Data Processing Framework (unified streaming + batch) with a Python API, distributed Rust engine, and capabilities for data source integration & transformation at scale (Kafka, S3, databases/CDC.
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Familiarity with technologies including Kotlin, Java Web Services, Hibernate, MySQL, DynamoDB, Kafka, AWS Cloud Services, HTTP, JSON, gRPC, Protocol Buffers, OkHttp, JUnit, Guice, DataDog, Prometheus, and SignalFx (experience not mandatory.
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Expertise in data modeling, data warehousing, data processing frameworks (Spark, Hadoop), real-time streaming technologies (Kafka), and AI/ML platforms (TensorFlow, PyTorch). Experience with modern analytical data warehouses such as Snowflake, BigQuery, and Redshift.
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Preferred: 2+ years of experience with a modern data stack (Databricks, Kafka, Spark, Airflow, real-time databases) and cloud data warehouses such as RedShift and Snowflake. Nearly every engineer on our measurement teams at Tatari relies on this data, and as a member of this team, you would be at the center of product innovation.
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Solid operational experience with Kubernetes, monitoring tools (we use Grafana & Prometheus), databases (we use CockroachDB, Clickhouse, & Redis) and data streaming technologies (we use Kafka.
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Kafka, Redis/Elasticache, Amazon S3, DynamoDB, Kubernetes, Terraform. We're looking for a Full-stack Software Engineer with front-end focus to help build out our data collection and processing system and integrate it with our data product.
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Proficiency in Java, Spring Boot, Python, Kafka, GraphQL, and AWS Cloud technologies. The Media & Metadata Acquisition and Syndication Services (MASS) team is seeking a Senior Software Engineer to help us deliver excellent linear & streaming experiences for Hulu, Disney+ and ESPN as a developer of our metadata integration platform.
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Experience with 3 or more of these technologies: Tensorflow, PyTorch, Kubernetes, Spark, Airflow (or equivalent), Kafka (or equivalent), data warehouse (eg. As a senior machine learning engineer, your expertise will be pivotal in developing Conversational AI solutions and other cutting-edge Machine learning techniques to define and shape the future of the Airbnb Community Support experience.
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We're doing this by leveraging the power of patterns (Anti-Corruption Layering, Strangler fig, Microservices, Event Sourcing, etc) and technologies (Kafka, Solace, Change Data Capture, Node.js, Go, Containerization, PaaS) to build cloud-native solutions for the enterprise based on modern event driven architectures.
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kafka job Title: engineer Company: Panalgo in San Francisco, CA
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