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Ideally you have an in-depth understanding of streaming data technologies like Amazon Kinesis or Apache Kafka, and experience with open-source data processing frameworks like Apache Spark, Apache Flink, or Apache Storm.
$223,600 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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8+ years' experience in engineering data pipelines using big data technologies (Spark, Flink etc. Experience with data warehouse platforms such as Redshift, Databricks, Big Query, Snowflake.
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Softrams is a Maryland and Virginia-based small business information technology, consulting, and solutions provider specializing in emerging technologies for UX/UI, mobile apps, DevOps, big data analytics, data science, and cyber security.
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Below Are Some Example Projects:Apache Spark: Develop the de facto open source standard framework for big data. Founded by the original creators of Apache Spark, Delta Lake and MLflow, Databricks is on a mission to help data teams solve the world's toughest problems.
$247,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Experience in designing and building complex data processing systems at scale with performance tuning, and with with data processing frameworks (e.g. Spark, MapReduce, AWS EMR) Experience with data storage and analytics systems (e.g. AWS RDS/DynamoDB, Elasticsearch, Databricks.
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Latitude specializes in providing highly skilled former in-house counsel and Big Law attorneys for flexible contract engagements and permanent positions in dozens of practice areas, including commercial contracting, data privacy, M&A, employment, litigation, and more.
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Our team leverages cutting-edge open-source technologies such as Apache Spark, Flink, Kafka, Airflow, Delta Lake, and Iceberg to build and maintain a scalable, high-quality data ingestion framework.
$210,100 a yearFull-timeExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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Contribute to maintaining, updating, and expanding the existing Data Capture platform including the Spark data pipelines while maintaining strict uptime SLAs. Tech stack includes Airflow, Spark, Databricks, Delta Lake, Snowflake, Scala, Python.
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Experience with commercial and/or open-source large-scale data processing, storage frameworks, and platforms such as Apache Spark, Apache Flink, etc. Additional RequirementsBonus if you have experience in the following areas:Working with streaming data processing frameworks such as Apache Flink, Kafka Streams, Spark Streaming.
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Experience with Big Data technologies such as M/R, Hive, Spark, Metastore, Presto, Flume, Kafka, ClickHouse, Flink etc. Design and implement reliable, scalable, robust and extensible big data systems that support core products and business.
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On a mission to transform the way millions of people work with sales enablement, Highspot is committed to building breakthrough software with a spark of magic. We're looking for a Senior Backend Software Engineer who will bring their creativity and experience to Highspot to help us build software with a spark of magic.
$252,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We are seeking builders for our Amazon MSK service, a fully managed service that makes it easy for customers to build and run applications that use Apache Kafka to process streaming data.
$151,300Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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6+ years of experience working in data engineering, data science, software engineering, MLOps specializing in AI and Machine Learning deployment. In our consultative approach, we are platform agnostic and are committed to accelerating the development of innovative AI solutions for our clients with the best possible tools; this spans all relevant technologies from on-prem and cloud deployment, high performance computing, automation, DevOps, MLOps, data engineering and streamlining IT infrastructure processes.
$253,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Big Data applications and Distributed Processing (Hadoop and Spark ecosystem components) Practical experience using latest technologies for data ingestion, integration, transformation, storage, mining/warehousing, big data analytics, and visualization.
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Building Machine Learning models for regression and classification using Apache Spark distributed data processing framework. Support the design and development of a portfolio of web applications built using the Shiny web application framework for R. Build data-review pipelines using Azure Databricks and R Shiny.
$173,000 a yearFull-timeExpandUpdated Yesterday
big data apache spark jobs Company: Shein in Seattle, WA
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