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Managing distributed teams is a plusProven track record of building products/features using Natural Language Processing, Query Understanding and Semantic Search techniquesExperience with Big Data and search technologies Spark/Hadoop/Kafka and SOLR.
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Hands-on Experience in Big Data and cloud technologies tools, i.e. Hadoop, Hive, Iceberg, Kafka, Spark, Presto, Airflow, Elastic Search, Docker and Kubernetes. Design and build data architecture for data science projects using big data technologies.
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Incharge of design, setup and maintenance of data infrastructure include but not limited to databricks, ElasticSearch, Kafka, ScyllaDB, CloudSQL, RDS, DynamoDB, etc. MUST be an expert in databricks, ElasticSearch, ScyllaDB, Kafka, CloudSQL/RDS.
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Familiarity with data warehousing, ETL processes, and big data technologies like Hadoop, Spark, and Kafka. We offer a unique and immersive online learning platform, powering corporate technical training in fields such as Artificial Intelligence, Machine Learning, Data Science, Autonomous Systems, Cloud Computing and more.
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Experience in building big data solutions using Java, kafka messaging, apache spark, solr and Cassandra no sql using cloud based deployment strategy. Experience with loosely coupled services using asynchronous message processing including Kafka.
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We're doing this by leveraging the power of patterns (Anti-Corruption Layering, Strangler fig, Microservices, Event Sourcing, etc) and technologies (Kafka, Solace, Change Data Capture, Node.js, Go, Containerization, PaaS) to build cloud-native solutions for the enterprise based on modern event driven architectures.
$93,400 - $224,600 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Working knowledge of Big Data areas like Kafka, Spark, Presto/Trino. Work with customers in designing solutions using Aerospike and other ecosystem components like Kafka, Spark, Presto, and JMS.
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Experience working with the analysis of big of data related to capital construction programs ensuring allocated work is completed/resources are fully utilizes in order to deliver against an agreed program of work.
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Experience with containers/Docker, and with cloud infrastructure like AWS/GCP/AzureExperience working with and operating open source technologies like Kafka, Elasticsearch or Opensearch, Istio, etc.
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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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Experience with NodeJS, TypeScript, MongoDB, React, and Kafka. Active in both centralized and decentralized finance, BitGo offers market-leading trading, lending, and borrowing services through its prime brokerage services and acts as the custodian for WBTC, the leading global stablecoin for Bitcoin.
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Experience with distributed systems, databases, and big data systems (Spark, Hadoop). Apache Spark : Develop the de facto open source standard framework for big data.
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AI/ML Platform Operations experience in an environment with challenging data and systems platform challenges - including large scale Kafka and Spark deployments (or their corollaries such as Pulsar, Flink, and/or Ray) as well as Workflow scheduling tools such as Apache Airflow, Dagster, or Apache Beam.
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Demonstrated capability in the complex data analysis techniques such as dimensionality reduction/scaling/normalization, clustering analysis, inferential statistics/regression analysis, and various machine learning techniques.
$102,000 - $155,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Design and develop cutting-edge speech algorithms and systems using Digital Signal Processing, deep learning and big data. Design and develop cutting-edge speech algorithms and systems using Digital Signal Processing, deep learning and big data.
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hadoop kafka big data jobs Title: architect Company: Advanced Knowledge Tech Llc in Palo Alto, CA
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