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2+ years of data/research scientist, statistician or quantitative analyst in an internet-based company with complex and big data sources experience. As a Language Data Scientist, you will start by diving deep into a couple of critical projects for Bedrock services to drive these projects forward.
$206,800 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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You have experience working with a cloud-based data warehouse to access data (Snowflake, Redshift, Big Table, etc) Own data integrations between Pigment and other primary sources, including Looker, Netsuite, Salesforce, Paylocity and Snowflake.
$138,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Demonstrated experience with big data processing systems and distributed computing technology such as Databricks, Spark, Sagemaker, Kafka, etc. Manages and influences the data pipeline and analysis approaches, uses different technologies, big data preparations, programming and loading as well as initial exploration in the process of searching and finding data patterns.
$146,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience deploying and maintaining pipelines (AWS, Docker, Airflow) and in engineering big-data solutions using technologies like Databricks, S3, and Spark. Feature Engineering and Optimization: Develop and maintain ETL pipelines using orchestration tools such as Airflow and Jenkins; deploy scalable streaming and batch data pipelines to support petabyte scale datasets.
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Experience with big data technologies such as Hadoop, Spark, and Kafka, and cloud-based data platforms such as Amazon Redshift, Google BigQuery, or Azure Synapse Analytics. Proficiency in big data technologies, cloud computing, machine learning, and AI.Strong leadership skills with experience in building, leading, and mentoring high-performing data engineering and analytics teams.
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Optimize Databricks jobs for performance and scalability to handle big data workloads. 5+ years with Data Warehouse Architecture, hands-on experience with Databricks platform. Implement best practices for data management, security, and governance within the Databricks environment.
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As a Senior Sales Specialist - Data & AI, you will be a senior solution sales leader within our enterprise sales organization, working with our most important customers. We are currently looking for Senior Sales Specialist - Data & AI professionals to join our teams across various business groups, for varying customer sizes, in our enterprise, regulated, and partner services organizations.
$237,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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As the Cross Asset Sector Team Leader, you will be responsible for leading a team of Data Engineers and Data Management professionals who are creating and improving ETL processes, coding, and maintaining workflow configurations, designing, and governing metadata/data models in a FAIR (findable, accessible, interoperable & reusable) manner across the Securitized Products Data Teams and in-line with Bloomberg Data as a whole.
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In HADOOP , you'll be given an introduction to BIG DATA, APACHE HADOOP, HADOOP ECOSYSTEM, CLOUDERA QUICKSTART VM along with core concepts of the Hadoop framework including MapReduce, HIVE, PIG, SQOOP, FLUME, HBASE, OOZIE.
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6+ years of experience in data engineering working with big data systems that can process and transform data at scale. Experience developing with data SaaS and BI tooling (Fivetran, Looker, dbt, Databricks, Apache Airflow, etc.
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Familiarity with data platforms and applications such as Databricks, Jupyter, Snowflake, Redshift, Airflow. Fluent in data exploration and visualization tools such as Looker and Tableau. Our team masters exploratory data analysis, advanced reporting, data modeling and visualizations that serve the dual purpose of driving business decision making and delivering fact-based actionable recommendations.
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Job Req ID: 24925 About Supermicro: Supermicro® is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide.
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The Azure Data Engineer is responsible for designing and implementing Azure Big Data and BI solutions using the Microsoft Azure platform. In this role you will work in the design of the architecture including data architecture, data governance, data modeling and design, data security, metadata management, data integration, data standards, data quality, and data warehousing as well as have extensive experience as an azure data engineer including.
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The ideal candidate will have a background in epidemiology, computer science, bioinformatics, or related disciplines, with practical demonstrated experience in processing next-generation sequencing (NGS) data.
$54,000 a yearFull-timeExpandApply NowActive JobUpdated 23 days ago - UpvoteDownvoteShare Job
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5+ years hands-on experience with the Big Data stack (HDFS, SPARK, MapReduce, Hadoop, Sqoop, Pig, Hive, Hbase, Flume, Kafka) A&I Data Service help to create data-driven organizations by providing the right solutions in Big Data technologies, Master Data Management, Business Intelligence Analytics by taking advantage of the Cloud based computing and storage.
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big data jobs Title: senior developer Company: Verizon in Hoboken, NJ
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