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Broad expertise and experience with distributed systems, streaming systems, and data engineering tools, such as Kubernetes, Kafka, Airflow, Dagster, etc. Broad expertise and experience with distributed systems, streaming systems, and data engineering tools, such as Kubernetes, Kafka, Airflow, Dagster, etc.
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Experience with data streaming and processing technologies like Kafka, Flink, Spark, and data processing ecosystems. Our engineers apply a mix of data engineering, SRE, and software development disciplines to simplify and automate a range of data infrastructure work including provisioning and management of data stores, event streams, and large scale compute clusters.
$134,800 - $185,350 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Experience building services with AWS (EC2, EMR, RDS, K8s), GoLang/Ruby, PostgreSQL and Data pipeline/streaming tools (Kafka) is preferred. Experience building services with AWS (EC2, EMR, RDS, K8s), GoLang/Ruby, PostgreSQL and Data pipeline/streaming tools (Kafka) is preferred.
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We work most often with relational databases like MySQL and event-streaming with Kafka. We work most often with Haskell, Clojure, F#, Erlang, or Elixir. Hiring a Staff Level Haskell Software Engineer.
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AWS services like EC2, S3, ECS, EKS, ELB, Any RDS, Streaming (Kafka), Messaging(SQS, ActiveMQ, RabbitMQ), Caching(Redis, Ignite, Redshift, elastic), NO-SQL and API Gateway. 5+ years of designing, and developing utilizing common AWS services like EC2, S3, ECS, EKS, ELB, Any RDS, Streaming (Kafka), Messaging(SQS, ActiveMQ, RabbitMQ), Caching(Redis, Ignite, Redshift, elastic), NO-SQL and API Gateway.
ExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Experience with AWS, Spark, Databricks, Data pipelines frameworks, streaming tools (Kafka), API design. Experience with AWS, Spark, Databricks, Data pipelines frameworks, streaming tools (Kafka), API design.
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Experience with confluent/MSK Kafka is preferred. This is a hands-on, technical lead role in the Advisory organization that will develop cloud-native services to support LPL’s overall cloud strategy and migration to AWS.
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Hands-on experience with Kafka or other live streaming technology is highly desired. This role will primarily be responsible for building out our analytics platform on Databricks, using dbt and Python for data transformations.
$90,000 - $144,000 a yearFull-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Experience with distributed data streaming frameworks like Spark Structured Streaming, Apache Flink, Kafka, etc. Experience in Messaging/streaming/REST API/ SOAP/JSON API. Experience with AWS (API Gateway, RDS, Redshift, S3, SQS, SNS, SES, Route 53, CloudFront, CloudWatch), React, TypeScript, Terraform, and Linux.
ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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The candidate is expected to have experience with Jenkins, Ansible, Ansible Tower, OpenStack, Docker, Kafka, Hadoop Spark, automation, software engineering, Jira, Confluence, and Power BI reporting.
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Skilled in integrating Kafka with Spark streaming for faster data processing. Experience in Big data Implementation with strong experience on major components of Iceberg, Tableau, Kafka, Superset, Druid, Hive metastore, apache, ranger, security, AWS.
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Our Datalake team plays a crucial role in streaming, accessing, and securely sharing vast amounts of data with both internal and external stakeholders through Kafka and Snowflake. Experience with distributed systems, Snowflake, Python, Airflow, Kafka, MongoDB, Redis, Datadog, Kubernetes, React, Ruby, Ruby on Rails.
$191,000 - $230,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Message Streaming: Familiarity with message stream processing using Apache Kafka or Apache Pulsar, contributing to real-time data handling and analysis. Backend Development: Experienced with Python Django/Flask or Java Spring Boot.
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Preferred 2 years - Experience with streaming/messaging platforms (Kafka, MQ, RabbitMQ, Elk, Elasticsearch) Required 8 years - Experience in large-scale IT Project/Product delivery with at least 3 years of work experience in current data streaming, messaging, management, and database technologies.
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Experience with streaming data frameworks like Spark Streaming or Kafka. In addition, Quisitive has a portfolio of industry-focused solutions that address customer challenges in healthcare, manufacturing, state & local government, performance management, and linguistics.
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kafka streaming jobs in Austin, TX
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