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Data Processing - experience with building and maintaining large-scale and/or real-time complex data processing pipelines using Kafka, Hadoop, Hive, Storm, or Zookeeper. Primary technologies used include Go, Python, Linux, Kafka, AWS, Redis, Docker, Kubernetes, Cassandra, Terraform, Envoy, Node. JS.
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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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Experience with big data processing technologies and databases, such as Apache Beam, Hadoop, Spark, Kafka, Pub/Sub, Dataflow, BigQuery or Bigtable. Founded in 2018 by engineers from Stanford, Cisco Meraki, and Samsara, Spot AI is the fastest growing Video Intelligence company in the U.S. We are upending the $30 billion video surveillance market with an AI Camera System to help people at work create safer, smarter organizations.
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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. TypeScript, Kafka, PostgreSQL, React, Ruby on Rails.
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Experience with Postgres, Redis, Kafka, Airflow. Experience with data-intensive applications, big data pipelines and analytics, having used tools such as Snowflake, DataBricks, Amplitude and Looker.
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Exposure to big data platforms - Snowflake, Redshift, Azure, Matillion, Hadoop. More than half of the Fortune 500 and more than two thirds of the Fortune 100 trust PagerDuty including Cisco, Cox Automotive, DoorDash, Electronic Arts, Genentech, Shopify, Zoom and more.
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Platforms: Experience with big data technologies like Synapse Analytics, Microsoft Fabric, Hadoop/hive, Greenplum, and Databricks etc. Strong understanding of big data technologies such as Synapse Analytics, Microsoft Fabric, Hadoop/hive, Greenplum, and Databricks etc.
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Data processing technologies and streaming workflows (e.g., Spark, Kafka, Flink, Beam) Our next-generation platform, which combines threat intelligence with machine learning, enables financial institutions and governments to detect cryptocurrency fraud and financial crime at an unprecedented scale.
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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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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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Extensive experience with Kafka, Spark, Redis, Flink, Trino/Presto, Hadoop in complex on-premise and hybrid data environments. Technical Leadership: Leverage your deep expertise in data technologies such as Kafka, Spark, Redis, Flink, Trino/Presto, and Hadoop to lead the architecture and development of our data systems, ensuring optimal performance, reliability, and scalability.
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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. 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.
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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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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, Redis/Elasticache, Amazon S3, DynamoDB, Kubernetes, Terraform. More than 2,300 customers, including Atlassian, Jersey Mike’s, NBCUniversal, Shopify, and Under Armour, rely on Amplitude to gain self-service visibility into the entire customer journey.
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hadoop kafka jobs Company: Panalgo in San Francisco, CA
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