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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-timeExpandUpdated Today - UpvoteDownvoteShare Job
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Hands-on experience with distributed systems such as Spark, Hadoop (HDFS, Hive, Presto, PySpark) to query and process data Experience with at least one major MPP (elastic map reduce) or cloud database technology (Snowflake, Redshift, Big Query) Experience with AWS Cloud technologies (S3 at a minimum) Solid experience with data integration toolsets (i.
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Perform evaluation of prototype, using EVs or real world big data of EVs. Get data from the cloud, communicate with the users Set parameters on charging, what is needed and how it is accomplished Agile prototype AWS Cloud simulation needed C.
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Help us deploy and scale the next generation of cloud security utilizing big data and analytics. We are looking for a Principal Engineer to join the team that is building our latest cloud security product - Data Loss Prevention (DLP.
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Familiarity with big data technologies such as Apache Spark, Delta Lake, and MLflow is a plus. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow.
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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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Candidates should have a strong background in LLM core concepts, be proficient in setting up and supporting large-scale big data applications in public cloud like AWS/GCP. The main responsibilities for this position include:Build LLM Applications using open source LLM App Frameworks, AWS BedRock/GCP Vertex AI.Evaluate and port Language Models onto optimized infrastructure to reduce cost and increase performance.
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Experience with big data tools: Spark, Kafka, HBase, Hive, Impala, Presto etc. Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS/GCP big data technologies.
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Bonus if those were open-sourced big data processing frameworks using technologies like Spark, Airflow, Kafka, Flink, Iceberg, Deltalake. Prior technical experience in Big Data solutions - you've built meaningful pieces of data infrastructure.
$210,100 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Strong understanding of data engineering concepts, including ETL processes, data lakes, data warehouses, and big data technologies. Proficiency in technical program development including an understanding of architecting, crafting, developing, and maintaining data warehouses/data lakes for sophisticated data ecosystems, data governance, dashboard development, as well as designing, developing, and deploying data science models.
$299,000 a yearFull-timeExpandApply NowActive JobUpdated Today - 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.
$78 an hourFull-timeExpandUpdated Today - UpvoteDownvoteShare Job
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Extensive experience (5+ years) with big data tools including BigQuery, Hive, Athena, Spark, and SparkSQL. As we continue to evolve and expand our technological capabilities, we are seeking a Principal Data Scientist to join our team and drive advancements in our data-centric AI and machine learning initiatives.
$240,000 a yearFull-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Perform evaluation of prototypes and services, using real-world big data of EVs. Define KPIs with domain experts, and prototype KPI monitoring tools. Experience with big data analysis using real-world data (marketing data, human behavior data, and so on.
$172,830 a yearFull-timeExpandUpdated 1 month ago - UpvoteDownvoteShare Job
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Experience in any of the following areas: natural language processing (NLP), big data, data mining, web data processing, large language models (LLM), algorithms and data structures, parallel and distributed computing.
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Manage the entire cycle of iterative big data exploration, data cleansing, insight generation/visualization, and action planning. Develop and implement a systematic and iterative approach to structure, extract, analyze, validate, and account for data lineage and customer preferences.
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