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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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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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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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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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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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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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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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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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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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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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10+ years of experience in data engineering on distributed frameworks such as Spark, Databricks, Kafka Streams, Hadoop etc. Develop, deploy and maintain data processing pipelines using cloud technology such as AWS, Kubernetes, Lambda, Kafka, Airflow, Redshift, S3, Glue, and EMR.
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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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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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hadoop kafka jobs Title: engineer Company: Panalgo in San Francisco, CA
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