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Your qualifications You have production experience with building and operating a DataLake, Data Warehouse or Data LakeHousesYou have a taste for big data streaming, storage and processing using open source technologiesYou can demonstrate your understanding of what it means to treat data as a productYou know what are Data Mashes and Data Fabrics and what is critical to make sure for them to bring valueYou are able to learn and adapt.
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Preferred qualifications:- 3 years of experience with big data technologies such as Apache Spark, Hadoop, and Kafka. You will be working on cutting-edge challenges in the big data and AI industry which requires strong passion and capability of innovation.
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Experience with distributed systems, databases, and big data systems (Spark, Hadoop). As a software engineer on the Runtime team at Databricks, you will be building the next generation distributed data storage and processing systems that can outperform specialized SQL query engines in relational query performance, yet provide the expressiveness and programming abstractions to support diverse workloads ranging from ETL to data science.
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Demonstrated experience with one or more big data frameworks such as Kafka, Flink, Kinesis , Spark, Airflow etc. Demonstrated experience in the Agile environment with developing, testing and implementing solutions utilizing cloud big data tech stack.
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You will build machine learning models and develop big data and distributed systems that use the models to analyze and categorize an enormous amount of URLs. You will be a key person in transforming ideas into products which are part of the next generation security platform.
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Proficient in real-time & batch data pipelines using big data technologies (i.e. Spark, Kafka, Hadoop & Hive). Big Data engineering experiences. Worked extensively with Kafka or other high volume-low latency messaging infrastructure and built real-time and batch data-driven applications.
$234,000 a yearFull-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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LinkedIn’s Data Science team leverages big data to empower business decisions and deliver data-driven insights, metrics, and tools in order to drive member engagement, business growth, and monetization efforts.
$240,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Hands-on experience with big data technologies (e.g., Spark, Kafka, Databricks) and cloud platforms (AWS, Azure, GCP). Utilize technologies such as DreamIO, Spark, and Airflow to orchestrate and monitor data workflows.
$334,800 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Unique experiences enrich our team, and the willingness to dream big makes you an exceptional candidate! 0-2 Experience with data structures, algorithms, object-oriented design, design patterns, SQL.
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We are looking for an excellent Big Data Engineer that will work on collecting, storing, processing, and analyzing huge sets of data. Knowledge of highly-available big data ecosystem (Hadoop, Spark, Kafka) at non-trivial scale.
$189,750 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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As a Principal Big Data Engineer, you'll play a key role in our data platform team, focusing on architecture, design, and development. Rootshell Enterprise Technologies Inc. is a recognized provider of professional IT Consulting services in the US. We are actively seeking Principal Big Data Engineer for one of our client, Please share your resume with current location & full contact info.
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Professional experience in Data Engineering using Google Big Query (GBQ) and Google Cloud Platform (GCP) data sets and building data pipelines. Big Data technologies and solutions (Spark, Hadoop, Hive, MapReduce) and multiple scripting and languages (YAML, Python.
$65 an hourRemoteExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Enrich data layers to effectively deal with the next generation of products which are a result of Uber's big bold bets. A Fintech is seeking a strong and passionate data engineer with experience in large scale system implementation, with a focus on complex data pipelines.
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Strong knowledge of distributed systems and hands on working experience of Big Data ecosystem components, such as Spark, Hadoop, Flink, Kafka, Delta Lake, Hudi, Elastic Search, ClickHouse etc.
$300,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Be proficient in understanding Big Data technologies and solutions (Spark, Hadoop, Hive, MapReduce) Experience in software development, data engineering, business intelligence, data science, or related field with experience in manipulating, processing, and extracting value from datasets.
$205,800 a yearFull-timeExpandApply NowActive JobUpdated 17 days ago
big data jobs Title: data engineer in Santa Clara, CA
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