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Experience working with cloud data processing technologies such as Apache Spark, ElasticSearch, Presto, SQL, etc. You will be building products using technologies such as AWS SageMaker, Tensforflow, Pytorch, LLM, Elastic Search, REST web services, SQS/Kafka, Vector Database, HBase, Machine Learning, and more.
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Experience with Spring Boot based microservice architectures, PostgreSQL, Kafka, Elasticsearch, Kubernetes or Docker. Experience with event driven architecture and Kafka. Experience with Spring Boot based microservice architectures, PostgreSQL, Kafka, Elasticsearch, Kubernetes or Docker.
$160,000 - $225,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Experience working with AWS services, Kafka, EMR, Airflow, Flink, Hadoop or similar. Experience working with AWS services, Kafka, EMR, Airflow, Flink, Hadoop or similar. Cardlytics is seeking a Principal Software Engineer to join our team, reporting to the Director of Engineering.
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Hands-on experience and training in Advanced SQL, Advanced Python programming, AWS Services ( such as S3, Redshift, Glue ETL, IAM, DMS, Appflow, VPC and others), SnowFlake, FiveTran, Informatica , KAFKA, Airflow, Oracle Cloud and other open source tools.
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Experience in data analytics technologies, ETL, GCP Bigquery, Snowflake, Kafka, Spark, etc. Experience in data analytics technologies, ETL, GCP Bigquery, Snowflake, Kafka, Spark, etc. Experience in tools and best practices in common environments e.g. Git, Terraform, Ansible, Docker, Kubernetes, etc.
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Experience with Apache data management tools: Alluxio, Atlas, Flink, Hudi, Ignite, Kafka, Pulsar. Experience with AWS Services (or equivalent): VPC, Lambda, Athena, Airflow, Glue, S3, IAM, RDS/Aurora/Redshift, and/or CloudWatch.
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Experience in technologies such as Hadoop, Spark, Kafka, Redis, Cassandra, Pandas, Dask, Airflow, Apache Beam, MongoDb, Hive, Impala, Hazelcast, Athena, Presto. Experience in technologies such as Hadoop, Spark, Kafka, Redis, Cassandra, Pandas, Dask, Airflow, Apache Beam, MongoDb, Hive, Impala, Hazelcast, Athena, Presto.
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Deploying test applications using whatever our customers want to automate (e.g., ElasticSearch, MySQL, RabbitMQ, Tomcat, Presto, Nginx, etc.) Shoreline is hiring Site Reliability Engineers to build an elegant, transparent automation layer on top of multiple platforms, including AWS, GCP, Azure, VMware, and Kubernetes.
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Design, build and optimize Sardine's Data infrastructure, including processing (apache beam), data warehouse (BigQuery), relational (Postgres, alloy), and nosql (elasticsearch, Graph DB, bigtable) databases.
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Experience with data processing technologies such as Spark, Flink, Hive, Airflow, or Kafka. Experience with data processing technologies such as Spark, Flink, Hive, Airflow, or Kafka. All full-time employees are also eligible for equity compensation and for benefits.
$189,110 - $233,840Full-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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E.g. Hadoop, MapReduce, Spark, Flink, Kafka, Presto, etc. e.g. Hadoop, MapReduce, Spark, Flink, Kafka, Presto, etc. We offer a range of services such as cloud computing, advertising, FinTech, and other enterprise services to support our clients' digital transformation and business growth.
$124,420 - $227,770 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Knowledge in the following areas is a plus: Perl and shell scripting, Docker, ELK, Hadoop, MongoDB, CentOS, Docker, Virtualization, Kafka, GCP. Knowledge in the following areas is a plus: Perl and shell scripting, Docker, ELK, Hadoop, MongoDB, CentOS, Docker, Virtualization, Kafka, GCP.
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Experience with monitoring and log aggregation frameworks, such as Azure Monitor/Sentinel, Data Dog(preferred), Dynatrace, Elasticsearch, Kibana, Logstash. Strong working knowledge of Docker, Kubernetes, Terraform, Chef or AnsibleExperience troubleshooting JVM based applications.
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Experience with Streaming Platforms such as Kafka, Kinesis, etc. Backed by the world’s leading investors such as Y-Combinator, Index Ventures, Jeffrey Katzenberg (co-founder of DreamWorks) and Greg Brockman (co-founder & President of OpenAI/ChatGPT), you will become a part of an elite group of visionaries who are defining the future of AI for customer experience.
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Experience working with distributed computing frameworks (e.g., Hadoop, Spark, Kafka). Some familiarity with distributed computing technologies (e.g., Hadoop, Spark, Kafka). Design and develop abstractions over datastores such as Cassandra, PostgreSQL, Snowflake, etc.
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elasticsearch kafka jobs in Foster City, CA
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