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2+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) At least 1 year of experience in big data technologies.
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Experience with Big Data stack using Hadoop, Spark, Accumulo or MongoDB, and Solr or Elasticsearch. This is your chance to leverage your expertise in building enterprise cloud-native solutions involving Kubernetes, Rancher, AWS, and Azure.
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4+ years of experience in big data and event streaming technologies: Spark, Kafka, etc. 2+ years of experience in cloud technologies: Azure (big plus), AWS, OpenStack, etc.
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Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake. 1+ years of data warehousing experience (Redshift or Snowflake.
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As a Capital One Data Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One. At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs.
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Exposure to Scrum framework Knowledge of message queuing technologies such as Kafka, Azure Service Bus, and stream data integration technologies or stream analytics technologies such as Apache Kafka KSQL, Spark Streaming and others Skill in creating ETL solutions using SQL Server Integration Services (SSIS) or other equivalent technologies Skill in developing data warehouses and data marts.
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You will collaborate closely with software development and operational support team members, in both ESP, across Fundamentals (including meteorology, geospatial technologies, and market intelligence and strategy) and Enterprise technology to implement best practices, drive continuous improvement and help take big-data analysis to a next level of optimization that can produce real-time market intelligence.
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Which meet defined requirements using SQL Server Integration Services (SSIS), SQL Server Analysis Services (SSAS), SQL Server Reporting Services (SSRS), Power BI, Python, ADF, T-SQL and other languages and tools.
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Proficiency with data platform architecture, design, data dictionaries, multi-dimensional models, objects, star and snowflake schemas as well as structures for data lakes, data science, and data warehousesExtensive experience with big data technologies and cloud platforms (e.g., AWS, Azure, GCP.
$241,000Full-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Performing data analysis, mapping, acquisition (using SQL queries), impact analysis, data transformation and distribution (using SQL Server Integration Services - SSIS), and dashboard creation and KPI reporting (using Tableau and Power BI/Excel.
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As a Senior Data Engineer on the MMA National IT Data and Analytics Team, we will count on you to develop and maintain scalable data pipelines, enhance data models, and provide subject matter expertise in data acquisition and consumption pipelines on Azure, Databricks and Confluent.
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Required Qualifications & Skills 3+ years of enterprise experience with data and platforms including: Provisioning/Data Capture, Big Data, Data Warehousing and Business Intelligence.
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The position is also responsible for the integration of data among TMS, the Museum's API, and ResourceSpace, with the potential for additional integrations with other systems, including but not limited to the Museum’s website CMS, Airtable, and OnBase.
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Brushless motors, absolute/incremental encoders) Experience working with more than prototypes, but also traceable products or a product actively used in humans Embedded and real-time digital signal root cause (e.g., EtherCAT, SPI, I2C, BiSS-C, MCUs, FPGA's) preferred Integration of complex electromechanical system (e.g., power, data, computing, robotics, and controls) Able to root cause PCB, PCA and Component Level electrical issues.
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Design scalable patterns and architecture to support both batch and real-time data products & platform using big data technologies such as Hadoop, SQL Data Warehouse, EMR, Spark, DataBricks, Snowflake, Azure Synapse or other Cloud data warehousing technologies.
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hadoop kafka big data integration jobs Company: The Friedkin Group
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