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BEDGEAR’s sleep solutions are engineered with Performance fabrics that are temperature neutral and instant cooling and maximizes airflow to allow the body to naturally regulate its temperature.
$14.93 - $34.46 an hourFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Proficient in languages (e.g., Python, SQL) and data technologies (e.g., Hadoop, Spark, Kafka, TensorFlow). Relevant certifications (e.g., Azure Data Engineer Associates, Azure Data Science Associate, Google Professional Engineer, AWS Certified Solutions Architect) are favorable.
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Experience in Hadoop, HDFS, Hive, Presto, REST/SOAP API, Spark2, Airflow is a plus. Experience in Hadoop, HDFS, Hive, Presto, REST/SOAP API, Spark2, Airflow is a plus. Work with AWS big data technologies including EMR, Glue, S3, EKS, Lambda, Athena, RDS.
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Familiarity with common MLops tooling(e.g., Dagster, Prefect, Airflow, Docker, MLflow, Kubeflow, W&B, Ray, etc.) We build models to predict molecular and protein interactions, aiming to revolutionize the field of medicinal chemistry.
$150,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with delivering applications using open source and cloud big data technologies such as Spark, Kafka, Airflow, Hadoop, HBase, object stores. Lead discovery to understand data product needs for various teams’ data modeling needs and improvements to our Kafka data infrastructure.
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O Knowledge of backend technologies – Node. JS, Java, SQL, NoSQL, Spring boot, Kafka. o Knowledge of backend technologies – Node. JS, Java, SQL, NoSQL, Spring boot, Kafka. o Management of multiple Omni-Channel development efforts integrating with multiple back-end systems.
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Proficient and able to properly start up and balance airflow and to properly align belts and pulleys on all systems with no supervision. Advanced skills in troubleshooting and repairing electronic air cleaners, refrigeration systems, hot water systems, steam boiler systems, humidifiers, and related equipment with no supervision.
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Minimum of five years' hands-on experience with distributed data processing tools such as MapReduce, Hadoop, Hive, EMR, Kafka, Spark, etc. 5 years experience distributed data processing tools Hadoop, Hive, Kafka, Spark etc.
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As Principal Engineer of the new Compute Platform, you will be working closely with the team and other key stakeholders to design, architect and build out our secure, multi-tenant, polyglot, Cloud-native Compute substrate to enable new business opportunities across Confluent Cloud (including Kafka, Flink, Connect and more.
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Creates domain and web services using Java, Kafka, GraphQL and other technologies for deployment in the cloud. And we're doing it with technologies like Java, Kafka, and GraphQL. If developing web and mobile apps is your thing, we've got that.
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Must have AWS Technologies (Cloudwatch, Kafka, Lamba, ect) The Salesforce Architect oversees multiple dimensions of assigned applications and capabilities for the stability of the life cycle management.
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Full-stack experience, either toward systems (kafka, temporal, docker), databases (DynamoDB), or front-end (javascript/typescript, react) Our core stack is Java/ Kotlin/ Spring / AWS/ PostgreSQL, and we run on Kubernetes in a service oriented architecture.
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Strong understanding of Kafka architectures - understanding the architecture of Kafka and relationships between the client and broker. They will be part of a team that is developing a new cloud-native financial services including a trade Order Management System of the trading activity on the brokerage platform.
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Experience with Kafka and streaming data processing. Hands-on experience with Kafka, Flink, Spark, or Pulsar. Kafka is a big part of how our systems communicate. Architect, design, and implement a scalable and highly available Streaming Ingest Platform based on Kubernetes, mostly Java with some java script, Go, Rust, React, PostgreSQL and Redis.
Full-timeRemoteExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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Understanding of AWS cloud to support confluent Kafka on cloud. Responsible for assisting producer and consumer applications to on board on to Kafka. Good understanding of Kafka client (Producer and consumer) functionality.
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