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Expertise in big data technologies like Hadoop, Apache Spark (Scala preferred), Apache Hive, or similar frameworks on the cloud (GCP preferred, AWS, Azure etc.) You will i dentif y possible options to address business problems within one's discipline through analytics, big data analytics, and automation.
$286,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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As the global leader in experience-centric operational analytics, Conviva has redefined big data analytics with our paradigm-shifting Time-State Analytics model. Join us to help extend our leadership position in big data streaming analytics to new audiences and markets.
$275,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Detailed knowledge and experience in working with state-of-the-art big data tools and frameworks (e.g. Apache Spark, Airflow, Delta Lake, or similar). Ideal candidates will have practical experience in designing and scaling big data pipelines and proficiency with tools and frameworks such as Apache Spark, Airflow, DeltaLake, or similar technologies.
$165,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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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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Advanced SQL skills to pull complex data report from multiple sources, familiar with Databricks or GCP Big Query, capable to write advanced "Splunk" queries to join multiple indices to stitch data, using Data-Driven decision-making process to analyze the impact of the production issues and prioritize them.
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Familiarity with technologies and design concepts around Big Data Processing and Relational Databases such as: ETL, Hadoop Ecosystem, structured data, SQL schemas and queries etc.
$178,200ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Familiarity with CI/CD, ETL, big data tools, and mainstream ML libraries (e.g., MapReduce, Spark, Flink, Kafka, Docker, Kubernetes, TensorFlow, PyTorch, Spark ML, etc. As a machine learning platform engineer of the Samsung Ads Platform Intelligence (PI) team, you will have access to unique Samsung proprietary data to develop and deploy a wide spectrum of large-scale machine learning products with real-world impact.
$230,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with Natural Language Processing: Java or Python, and ML, AI, Labeling, Annotation, Data Pipeline, Big Data, AWS, or Cloud Services. We’re on the lookout for the curious, those who think big and want to define the world of tomorrow.
$200,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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PubMatic is seeking a Sr. Machine Learning Engineer with big data experience who can work on building the next generation ML platform. Developing Big Data pipelines using modern technology stack such as Spark, Hadoop, Kafka, HBase, Hive,etc.
$180,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience in Cloud/Big Data platforms (e.g., AWS, GCE, GCP, Beam, Spark, BigTable, BigQuery etc.) Design and improve backend data pipelines for manipulating and managing big data in terms of scalability and efficiency.
$200,214 a yearFull-timeExpandApply NowActive JobUpdated 20 days ago - UpvoteDownvoteShare Job
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Ford's GDI&A department is on the hunt for talented individuals skilled in Machine Learning, Big Data, Statistics, Econometrics, and Optimization. As part of our Global Data Insight & Analytics (GDI&A) team, you'll play a pivotal role.
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Microsoft’s Azure Data engineering team is leading the transformation of analytics in the world of data with products like databases, data integration, big data analytics, messaging & real-time analytics, and business intelligence.
$182,600 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Sr. Data Engineer - Kohler Ventures Work Mode: Hybrid Location: Hybrid - 3 days/week onsiteat Palo Alto, CA or New York City, NYOpportunityKohler Ventures is an independent company wholly owned by Kohler Co., global leader in the manufacture of kitchen and bath products, tile and home interiors, and an international host to award-winning hospitality and world-class golf destinations.
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Work with BIG data, crunching millions of samples for statistical modeling, data mining, recommendation solutions. Experience in Big Data. Working knowledge in one or more of the following: machine learning, data mining, information retrieval, security data science, advanced statistics or natural language processing.
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Strong experience in scripting/programming – Python, Java, PowerShell, Bash. Experience with configuration and management of SSO, Big Data/ No-SQL in cloud infrastructure. Experience with monitoring and log aggregation frameworks, such as Azure Monitor/Sentinel, Data Dog(preferred), Dynatrace, Elasticsearch, Kibana, Logstash.
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