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Good knowledge and Proven practical experience in migrating relational data base from on-prem to cloud OR to build cloud-based data lake using either Big Data / Azure Synapse / Databricks / Snowflake.
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You will need to have previous experience working with Apache Spark applications, implementing big data applications for a variety of customers, programming skills, and familiarity with open source big data processing frameworks.
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Experience with 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 identify possible options to address business problems within one's discipline through analytics, big data analytics, and automation.
$117,000 - $234,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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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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From designing scaled sales and service delivery programs to ensuring our customers have tailored tools and products at their fingertips, our SMB team combines operational expertise with a customer-centric mindset to help businesses achieve their marketing goals on TikTok, no matter how big or small.
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Responsible for schematics capture, PCB layout check, BOM generation, debugging, and testing on backplane, add-on card, and server boards. As a Sr. Hardware Design Engineer, you are expected to be self-motivated and possess a strong will to do great things, with result-driven mindset to develop the most competitive and endurance board products.
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The Arcadis Team is looking to add a Program Scheduler & Data Management Strategist professional to their Team. The ideal candidate would be very comfortable analysing large volume of data for one of Arcadis's key technology clients, but will also have deep knowledge working with program schedules for our fast moving data center construction program.
$135,000 - $145,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Firewalls, balanceadores de carga, proxys, WAF (Palo Alto, Fortinet, Imperva, Akamai, Zscaler, Netskope, F5 Big-IP, Formaciones específicas en seguridad informática, soluciones de seguridad y/o fabricantes orientados a seguridad (Palo Alto PCNSE, Fortinet NSE4 mínimo, Imperva, Zscaler, F5 Big-IP, Cisco Seguridad, etc.
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Spot customers (including some of the most innovative enterprises and startups like Ticketmaster, Duolingo, and Broadcom) use our software to reduce the amount of human effort required to manage their cloud infrastructure for web applications, container workloads, big data processing, and more.
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Proficient in SQL and Experience with the Big-Data ecosystem (Spark, Hadoop, Hive, Pig, etc.) Our stores reach hundreds of millions of customers around the world, and have revolutionized how people interact with their music, movies, TV shows, apps, books, and podcasts You will work on Apple Music,Apple Books and Apple Podcast ecosystem, helping roll out new features, debugging issues, monitoring health of our systems and identifying code issues.
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Good Knowledge ofHardware (Dell, Cisco, Pure, Palo Alto) Microsoft Exchange, Microsoft SQL Networking Cisco, Palo Alto, Big IP (FW, SDWAN, VLAN’s, Routing, Switching) Security (Splunk, APM, SIEM) Login/ Monitoring (Splunk, Elastic, Prometheus, PRTG, Netbox, IPAM, CMDB) Mattermost, Atlassian.
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Process Mining, Big Data, Business Analytics, Business Processes, Intelligent Business Cloud, Intelligent Business System, Digital Transformation, Business Process Automation, Robotic Process Automation, Machine Learning, Artificial Intelligence, SaaS, Big Data Analysis, Business Process Analysis, Process Analytics, Digital Innovation, Software Development, Real Time Optimisation, and Execution Management System.
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In-depth understanding of GCP’s underlying architecture and hands-on experience with products like Big Query, Google Cloud Storage, Cloud SQL, Memory Store, Dataflow, Dataproc, Artifact Registry, Cloud Build, Cloud Run, Vertex AI, Pub/Sub, GCP APIs.
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Expertise in Apache Spark for leveraging big data best practices, and familiarity with data integration techniques to connect Databricks with visualization tools like PowerBI or Graphana. Leverage Databricks for tasks such as writing complex SQL queries, applying business logic, and utilizing big data best practices and can significantly enhance the efficiency and scalability of identifying and analyzing log data.
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Experience with the Big Data stack (HDFS, SPARK, MapReduce, Hadoop, Sqoop, Pig, Hive, Hbase, Flume, Kafka) as well as with the No-SQL (e.g. MongoDB, HBase, Cassandra) Expertise in Snowflake, Databricks, Big Query, Synapse.
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big job Company: Enterprise Mobility in Sunnyvale, CA
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