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Familiarity with other Big Data technologies, NoSQL solutions, Spark Streaming, Flink, Kafka, and cloud services (like Kubernetes, Google Cloud, AWS) Familiarity with Apache Spark/Flink/Iceberg, Google Dataflow/Beam, or other pertinent big data technologies.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Be primary point of contact for the data pipeline that involves Kafka, Hadoop, Cassandra etc and infrastructure components. Familiarity with DNS, HTTP, message queues, queueing theory, RPC frameworks, datastoreDescriptionThe Service Reliability Engineer (SRE) role in Apple Services Engineering requires a mix of strategic engineering and design along with hands-on, technical work.
ExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Experience with Data streams at high scale (Apache Kafka, Kinesis) We’re Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way.
$213,900 - $355,900 a yearFull-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Current projects are:Reddit specific clients and templates with helper functions and features suited to our use of KafkaSchema Registries and enforcementCapacity management and ACLs through client enforced authenticationGitOps developer experience for Kafka interactionAs a member of the Data Processing and Workflow Foundations team, your work will span these 2 domains, which are rich with challenging infrastructure and software engineering problems.
$190,800 - $267,100 a yearFull-timeExpandUpdated 5 days ago - UpvoteDownvoteShare Job
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Data platform architecture, system design, and platform engineering of Azure cloud infrastructure, ADLS Gen2, ADF, Event Hub, Kafka, Databricks, SQL Server and Snowflake. Build data classification solution to classify sensitive data during the ingestion process, automate export/import metadata to and from the Data Governance platform.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Experience with data engineering, analytics tools, data modeling, and visualization platforms (e.g., Power BI) is a plus. Working with our business operations and Foundation strategy program partners, the team supports the management of on-premises and cloud data infrastructure, data security and access controls and EDS technology stack and roadmaps.
$137,500 - $224,600 a yearFull-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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6+ years experience engineering software and data platforms / enterprise-scale data warehouses, preferably with knowledge of open source Apache stack (especially Apache Spark, Apache Arrow, Kafka, and others.
Full-timeExpandUpdated 3 months ago - UpvoteDownvoteShare Job
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3+ yrs of Big Data technologies (e.g. HDFS, AWS, Spark, Kafka, Voldemort, Cassandra, Druid) The Apple Services Engineering (ASE) Analytics Engineering QA team is responsible for ensuring the Quality and integrity of the data collected and reported on customer experience data.
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Familiar with multiple Big Data technology stacks (e.g. Hadoop, Yarn, HDFS, MapReduce, Hive, Spark, Kafka, etc) Good understanding of data engineering challenges and proven experience with data platform engineering (batch and streaming, ingestion, storage, processing, management, integration, consumption.
Full-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Data Engineering technologies (Ex: Spark, Hadoop, Kafka) 3+ years in a data engineering, data science, technical architecture, or similar pre-sales/consulting role.
$139,700 - $247,300 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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The ideal candidate has a strong software engineering background and problem-solving ability along with cloud computing (AWS) and data engineering skill set with prior experience on technologies such as Snowflake, Airflow, dbt, Kafka, Spark, Python, and Tableau.
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Experience in the Big Data technologies(Hadoop, M/R, Hive, Spark, Metastore, Presto, Flume, Kafka, ClickHouse, Flink etc.) - Data Engineering that support business products.
$129,960 - $246,240 a yearFull-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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You'll serve as a leading technical contributor focused on data engineering tools and languages (Spark, Scala, Kafka, etc.) This dynamic team is a full-stack powerhouse, comprising leaders in product and portfolio management, data engineering, infrastructure and DevOps, data/metadata/knowledge platforms, and AI/ML and analysis platforms.
Full-timeExpandApply NowActive JobUpdated 24 days ago - UpvoteDownvoteShare Job
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Role - Senior Backend Java Developer (with event streaming platform like Kafka, RMQ experience) As a Senior Software Developer, you will be joining the IT Product Engineering team responsible for providing Event Streaming platforms as a service, and will focus specifically on designing, developing, maintaining an in-house event streaming platform, alongside integrating it with different applications within the organization.
ExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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One of our products includes a microservices framework that supports security, controls, event streaming, messaging, data stores, and governance. Represent Core Platform Engineering at the Technology Architecture Council, the Technology Engineering Forum, and other Product Cabinets (such as Identity and Access Management.
Full-timeExpandApply NowActive JobUpdated 8 days ago
data engineering kafka jobs in Seattle, WA
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