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Use Azure Databricks for big data processing and analytics. Leverage Azure Data Factory and Azure Databricks for data integration and ETL processes. Azure Data Factory, Azure DataBricks, Python experience is a plus.
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Familiarity with big data platforms, such as Azure Databricks, Azure HDInsight, or Azure Stream Analytics. We are currently seeking a dynamic and visionary Data Architect with a wealth of experience in Data & Information Solutions.
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Bachelor’s degree in computer science, Engineering, or a related field10 or more years and multiple implementations of hands-on big data, data warehouse and/or analytics data engineering experience using RDBMS and NoSQL data platform technologies, ETL, and Data ingestion protocols.
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As a big data engineer at Booz Allen, you'll use your skills and experience to implement data engineering activities on some of the most mission-driven projects in the industry. We need a data professional like you to help our clients find answers in their big data to impact important missions-from fraud detection to cancer research to national intelligence.
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Job Req ID: 23798 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.
$134,000 - $160,000 a yearExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Big Data Architect, Cloudera Big Data Tool stack (Hive, Impala, OoZie), Pyspark, Teradata, Shell Script, Unix programing, Hadoop. Skill: Big Data Architect.
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Growing the game of golf while incorporating the beauty of the Ozarks into every shot, Big Cedar Lodge offers NATURE'S FINEST™ courses designed by some of the top names in golf: Tiger Woods, Jack Nicklaus, Arnold Palmer, Tom Watson, Gary Player, Tom Fazio, Bill Coore, Ben Crenshaw, as well as Jackson/Kahn. Golf at Big Cedar is truly an experience you will never forget.
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O Advanced knowledge of digital transformation principles and concepts, including agile, scrum, and user experience design as well as data analytics tools such as Python, R, ACL, Power BI etc. o CompTIA Data+, Power BI Data Analyst, SAS Certified Data Scientist, Certified Analytics Professional, or other relevant professional designation or advanced degree.
$144,160 - $186,560 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Find your place in technology on #TeamAmex The U.S. Consumer Services and Enterprise Digital & Data Technology Team brings together foundational strategic technology capabilities in digital experience engineering (Mobile and Web), AI/ML, marketing technology, enterprise communications, travel and lifestyle, and automation, grounded in our data technology model that prioritizes data governance.
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Experience with multiple large scale Enterprise Hadoop or Big Data, Data Bricks, Cloudera, HD Insights, or other environments focused on operations, design, capacity planning, cluster set up, security, performance tuning and monitoring.
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GAI's team members work side by side with government IT executives and OEM partners to solve complex business problems such as AI/ML, RPA, Cyber Security, Big Data, Data Center & Cloud.
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Delivery experience in Data Engineering with Google Cloud Platform including Big Query, Dataflow, Cloud Data Fusion, Cloud Composer, Dataproc, Cloud Pubsub, Cloud Function etc. + Propose, own initiatives and demonstrate though leadership that improve the efficiency and productivity of the data science Center of Excellence.
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The focus of the Data Specialist is to properly report production and processing information from the seed to sale system (METRC/Biotrack/MJ Freeway), ERP (Dynamics NAV), and our internal systems for all identified locations in Region 2.
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Through a subsidiary, MFA Oil operates Break Time convenience stores in Missouri; a Big O Tires franchise in Missouri, Arkansas, and Kansas; a solar panel installation company, BluSphere Energy; and APM, a wholesale fuel distributor.
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You also have:Hands-on experience in testing and validating ETL pipelines and knowledge of big data frameworks and architectures, including Spark, Hadoop/MapReduce, Airflow, and Streaming (Kafka or similar message bus.
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big data jobs Title: big data architect Company: Rackspace Us
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