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Experience with databases and data solutions such as MongoDb, MariaDb, Microsoft SQL, Spark and Kafka. Automation, CI/CD and container using technologies such as Git, Kubernetes, Docker, Rancher, and Armada.
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Experience working with data technologies, such as Apache Spark, Kafka, dbt, and data warehouses, for handling large-scale datasets. Tecton is funded by Sequoia Capital, Andreessen Horowitz, and Kleiner Perkins, along with strategic investments from Snowflake and Databricks.
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We use proprietary and open source technologies, Kafka, Spark, Iceberg, Airflow, Presto, etc. Proficiency in at-least one of the following programming languages - Python, Scala or Java. Experience in multi-threaded, concurrent programming and synchronization Cloud technology experience on platforms like AWS, Microsoft Azure, Google Cloud Experience developing Big Data applications using java, Spark, Kafka is a huge plus.
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Technologies we use: Java, GCP (Pub/Sub, Dataflow, BigTable, BigQuery), Kafka, DropWizard, gRPC. Brands including DoorDash, Yelp, and Poshmark rely on Sift to unlock growth and deliver seamless consumer experiences.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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2+ years of hands-on development experience with event based streaming technologies (Apache Kafka / Azure Event Hub or similar) Experience implementing and maintaining data platform core services (data lake, data integration, data warehouse) and configuring and integrating infrastructure and PAAS (e.g., Azure Data factory, Informatica cloud services, Databricks, Data gateway and Qlik Sense, Power BI.
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Development Platform/Languages: ASP.net MVC, ASP.net Webform, C#, MS SQL, web services, SOAP/Restful, Azure, CI/CD tools, EpiServer (web CMS), MS Identity Server, JWPlayer, Kafka, Java, JavaScripts, Typescript, React, Bootstrap, Xamarin, Swift, Objective C, Solr, HTML, CSS.
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Experience with real-time and streaming technology (i.e. Azure Event Hubs, Azure Functions, Pub/Sub, Kafka, Spark Streaming etc.) Experience with Snowflake/BigQuery, Google Dataproc/Databricks or any big data frameworks on Spark.
Full-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Experience with data streaming infrastructure deployment (e.g., Spark Streaming, Kafka, Azure EventHub, or EventBridge) Experience with Big Data platforms such as Databricks or Apache Spark. Experience with the Azure Ecosystem (Azure Data Lake, Azure Data Factory, Azure Databricks, Azure Machine Learning (AML), Azure Cognitive Services, Azure Storage.
$66,000 - $185,000Full-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Designs, modifies, develops, and implements solutions for ingesting, provisioning and securing data in the Lake (S3), Warehouse (Redshift) and Marts (Redshift and MySQL) using Scala, Apache Spark, Hive, Apache Pig, MapReduce, AWS Data Pipeline, AWS Glue, AWS EMR and Apache Kafka.
Full-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Experience with js , AWS, Jenkins, Fortify, TestRail, Atlassian Tool Suite, Sonarqube, Kafka, RabbitMQ, COPPER. Software utilized will include: Java, SpringBoot, HTML, CSS, JavaScript (ECMA Script)/Typescript, Swagger, Gradle, Docker, Kubernetes, D3.
$86,000 - $138,000 a yearFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Preferred experience: Ansible, Elastic (ELK) stack, Cisco ASA, Palo Alto Firewall/IPS/Panorama, Kafka, virtual machines, and containers. Preferred experience: Ansible, Elastic (ELK) stack, Cisco ASA, Palo Alto Firewall/IPS/Panorama, Kafka, virtual machines, and containers.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Knowledge of Apache Spark, KAFKA, HIVE, Hbase, Flink, Airflow. Certification in any of the following preferred: CISSP, CISM, CISA, Security +, or equivalent Additional security industry training such as SANS or Offensive Security preferred Knowledge of information security concepts and technologies, including cyber risk, third party risk, and security governance Knowledge of a wide range of security/risk management frameworks like NIST, CIS etc.
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Development languages/frameworks : Java/Scala, Apache Spark, Kafka, Vertica, JavaScript (React / Redux), MicroStrategy. Design, develop, and maintain high volume Java and Scala based data processing jobs using industry standard tools and frameworks in the Hadoop ecosystem, such as Spark, Kafka, Hive, Impala, Avro, Flume, Oozie, and Sqoop.
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Hands-on experience working with Azures PaaS offerings such as Purview, Databricks, Azure Data Lake Storage, Data Factory as well as monitoring of the environments. Creates Infrastructure as Code (IaC) scripts (Bash, JSON, YAML, Terraform, CloudFormation.
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Python, Bash Scripts, Groovy, MySQL, Oracle, Postgresql, MongoDB, DynamoDB, Apache Tomcat, Spring Boot, AWS, GCP, Docker, Kubernetes, Terraform, Git, Maven, Jenkins, Grafana, datadog, Logstash, kafka, rabbitMQ, and ServiceNow.
ExpandApply NowActive JobUpdated 8 days ago
kafka job
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