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And cloud/big data platforms (AWS, GCP, Beam, Spark). Optimize cloud infrastructure and leverage technologies like Docker, Kubernetes, and cloud data platforms (AWS, GCP) for deployment and scaling.
$233,856 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Solid understanding of data engineering concepts, including data modeling, data processing pipelines, and big data technologies (e.g., Hadoop, Spark, Kafka). Experience working with relational and NoSQL databases, as well as cloud-based data storage solutions (e.g., AWS S3, Google Cloud Storage, Azure Blob Storage.
Full-timeRemoteExpandApply NowActive JobUpdated 20 days ago - UpvoteDownvoteShare Job
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Big Data FrameworksMetadata Catalogs – DataHub, Informatica, Collibra (experience in any one is good)Data Quality Platforms – Anomolo, Informatica, BigEye (experience in any one is good)Event Platforms – Kafka, MSKData Platforms – Palantir Foundry, Databricks, Snowflake (experience in any one is good but Foundry experience will be a bonus) Your Recruiter Still have questions.
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Experience with the Big-Data ecosystem (Spark, Hadoop, Hive, Pig, etc. Understands different data storage solutions and when to use them (e.g. RDBMS, Cassandra, Solr, Redis) Built and deployed large scale data pipelines (e.g. Kafka, Spark, Storm.
$243,300 a yearExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Our team members enjoy solving complex problems, big sky thinking, and obsess over getting the details right. Your personal data will be shared with Lacework’s subprocessor Greenhouse Software, Inc., a cloud services provider located in the United States of America and engaged by Lacework to help manage its recruitment and hiring process on Lacework’s behalf.
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Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL and AWS big data technologies. Collaborate with DS to implement advanced analytics algorithms that exploit our rich data sets for statistical analysis, prediction, clustering and machine learning.
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Experience with big data technologies such as AWS, Hadoop, Spark, Pig, Hive etc. Outbound Communications seek a talented Sr. Research Scientist to join our team to develop the next generation of automated and personalized marketing programs to help Amazon customers in their shopping journeys worldwide.
$247,600 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Consulting and/or CxO/CIO roles with 15+ years of progressive technology exposure (AI, BI, ML, Digital Transformation, Big Data, Cloud, etc.) Preferred Industry experience: High Tech, Software, Semi- Conductor, Telecoms, Gaming, Retail, CPG or Manufacturing.
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Collaborate with a high-performing UX Research team with expertise in all types of research including qualitative, survey, usability, metrics, plus partnering with big data experts for analyses of behavioral data.
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Experience working with big data (engineering / processing) and data migration. Snowflake developed an innovative new product with a built-for-the-cloud architecture that combines the power of data warehousing, the flexibility of big data platforms, and the elasticity of the cloud at a fraction of the cost of traditional solutions.
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Develop highly scalable, automatic, and flexible defense systems integrating extensive data collection, big data processing, machine learning detection, automatic response, and automatic mitigation across all data centers, IT infrastructure, and public cloud environments.
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Experience in the Big Data technologies(Hadoop, 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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Prior experience with big data technologies such as Hadoop or Spark. 2+ years of direct industry work experience in one or more of the following areas: data science, data analytics, or data engineering.
$125,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Experience in Apache Big Data stack such as Hadoop, Spark, Presto, Hive with a track record of being involved. Data Warehouse design, BI reporting and Dashboard development. Role: GCCI Consultant – Data Analytics.
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Enterprise, SMB, and Start-up clients come to us for our deep experience with Big Data, Advanced Analytics, Machine Learning, Artificial Intelligence and more. Proven record of accomplishment of sourcing and closing 6-figure professional services contracts.
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