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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). Architect and design scalable software applications, data platforms, data pipelines, automation systems, system integrations, and AI/ML algorithm outputs that integrate cohesively to deliver Salesforce business outcomes.
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Software / Robotics Engineer (Full-Time) – Yummy Future. TypeScript, Kafka, PostgreSQL, React, Ruby on Rails. Vouch is looking for a Staff Software Engineer to lead the Technical Foundations Team of Vouch’s engineering organization.
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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.
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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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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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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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Have experience working with Redis, MongoDB, Kafka and/or PostgreSQL. Have 3-5 years of software development experience. 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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Exposure to big data platforms - Snowflake, Redshift, Azure, Matillion, Hadoop. Our global teams work together, iterate constantly, and solve complex problems to help our 15,000+ customers deliver beautiful customer experiences powered by happy teams and healthy software.
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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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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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We develop mainly in Golang, partly in Java, and also use Terraform, Kubernetes, Redpanda, Gazette, Hadoop and multiple Google cloud technologies (BigTable, BigQuery, Datatransfer jobs , Pub/Sub etc.
$110,000 - $166,750 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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: principal software engineer in San Francisco, CA
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