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Proficient understanding of opensource databases such as Apache Cassandra, Apache Kafka, PostgreSQL and other similar technologies. Spot customers (including some of the most innovative enterprises and startups like Ticketmaster, Duolingo, and Broadcom) use our software to reduce the amount of human effort required to manage their cloud infrastructure for web applications, container workloads, big data processing, and more.
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Design and implement architecture, such as Serverless, Microservices, and Event Sourcing, and technologies, such as Kafka, Elixir, TensorFlow, Node.js, Docker, and Go, to build cloud-native style solutions for the Predictive Enterprise Monitoring, Alerting, and Reporting.
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Experience with big data tools: Spark, Kafka, HBase, Hive, Impala, Presto etc. Experience with AWS/GCP cloud services: EC2, EMR, RDS, Redshift, Presto, Bigquery, Composer, Dataproc. Experience with big data tools: Spark, Kafka, HBase, Hive, Impala, Presto etc.
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Knowledge of Data Streaming products such as Kafka, Confluent Platform, Azure Eventhub, Azure Streaming Analytics, Azure Data Factory, Azure Synapse, Databricks, Google BigQuery and Google PubSub, SAP Data Intelligence and SAP DataSphere.
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This role is pivotal in overseeing the design, implementation, and optimization of our compute infrastructure, encompassing technologies such as Apache Flink, Apache Trino, Apache Spark, and their interactions with streaming frameworks like Apache Kafka, Apache Airflow, and others.
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Demonstrated familiarity with any of Kubernetes, cloud-native technologies, services, security; Python, Kafka, InfluxDB, PostgreSQL, Cassandra, knative, Helm, ArgoCD.Familiarity with contemporary distributed service architectures.
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You know data structures, you know Python and (optionaly) Go. Our tech stack Google Cloud Platform, DataFlow, Apache Beam, BigQuery, BigLake TableOpen formats IceBerg, Avro, ParquetDataProc, Spark, Flink, PrestoPython, GOApache Kafka, Kubernetes, GitLabBigTable, Mongo, Redis.
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Experience with Kafka, Kubernetes, Perl. Python (Jupyter), R, Elasticsearch, Non-Relational DBs: MongoDB / Cassandra, Relational DBs: MySQL, SingleStore, Presto and Docker containers. Javascript, Jenkins / Spinnaker, Artifactory, RESTful APIs building machine learning systems is a plus.
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Proficient in Apache Hadoop, Map-reduce, Apache Spark, and in messaging Systems as Kafka. Master's degree in Computer Science, Computer Engineering, Computer Information Systems, Software Engineering, or related area and 2 years' experience in software engineering or related area, We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly.
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3 years of hands-on prototyping and programming knowledge (e.g. Python, SQL/NoSQL, Kafka, Spark, etc. 2 years of experience with prototyping and cloud bulk data ingestion techniques (e.g. AWS, Spark, Kafka.
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Familiarity with CI/CD, ETL, big data tools, and mainstream ML libraries (e.g., MapReduce, Spark, Flink, Kafka, Docker, Kubernetes, TensorFlow, PyTorch, Spark ML, etc. Familiarity with CI/CD, ETL, big data tools, and mainstream ML libraries (e.g., MapReduce, Spark, Flink, Kafka, Docker, Kubernetes, TensorFlow, PyTorch, Spark ML, etc.
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Having extensive industry experience with Infrastructure such as Code (Terraform), orchestration tools ( Airflow, AWS Step/Lambda), building CI/CD pipelines using GitHub Actions, and real-time monitoring/alerting frameworks such as Prometheus and Grafana.
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Familiar with data stack applications like SQL Database, Data warehouse, Kafka etc. 3-5 years experience with backend and DBMS technology, including SQLserver, MySQL, Redis, Elastic, Kibana and RabbitMQ. Experience with Kubernetes, docker micro-services, and cloud infrastructures (AWS, Azure, GCP) In-depth hands-on experience with industry standard frameworks like React or similar.
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Build Bytedance staging environment for TikTok, Ads, Shopping to enable internal isolate user and traffic from Prod, scale distributed applications, tweak technology like K8S, RPC, DB, MQ, KAFKA, HDFS, Hive, Yarn, build monitor and alert system.
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You will work with Java, SAP Hana, Kafka, Spring, Temporal, Redis, Azure, GCP, UI5, CAPS , CDS, Business Process/Rules Engines and other cutting edge cloud technologies leveraging open standards to build out the platform and its applications.
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kafka job Company: Crowdstrike in Sunnyvale, CA
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