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We engineer business outcomes for Fortune 500 companies and digital natives in the technology, healthcare, insurance, travel, telecom, and retail & CPG industries using technologies such as cloud, microservices, automation, IoT, and artificial intelligence.
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Big Data: managing Hadoop clusters (all included services), troubleshooting cluster operation issues, migrating Hadoop workloads, architecting solutions on Hadoop, experience with NoSQL data stores like Cassandra and HBase, building batch/streaming ETL pipelines with frameworks such as Spark, Spark Streaming and Apache Beam, and working with messaging systems like Pub/Sub, Kafka and RabbitMQ.
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Proficiency in SQL and multiple programming languages for building data pipelines including Python, Scala, Spark, and Java. Experience in multi-threaded, concurrent programming and synchronization Cloud technology experience on platforms like AWS, Microsoft Azure, Google Cloud Experience developing Big Data applications using java, Spark, Kafka is a huge plus.
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In our Data science track we prepare you to get job as one of the following: Python developer, a data analyst, data visualization developer, a statistician, a machine learning engineer or a data scientist.
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KEY QUALIFICATIONS: Python, SQL Data processing, ML experience Data Warehouse knowledge ETL pipeline knowledge Data Engineering Data Science Data Analytics, Data Mining PLEASE HAVE KNOWLEDGE OF ONE OR MORE OF THE FOLLOWING TECHNICAL SKILLS: Kubernetes, Tableau, PowerBi MongoDB Microsoft Cloud Services like Azure and AKS Snowflake SQL Server data platform Software development (including design, implementation, testing, and change management.
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Azure Data Engineering or Databricks Certification, and expertise with other cloud data platforms (AWS, Snowflake) preferred. - Lead the design and implementation of complex cloud solutions using Microsoft Azure, focusing on integration with Databricks and Azure Data Factory.
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Master's degree in education, curriculum design, instructional design, instructional technology, computer science, or related field. Bachelor's degree in education, curriculum design, instructional design, instructional technology, computer science, or related field.
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What you’ll bring to Circle: 5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
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As a member of the Data Science Engineering team, you will have significant responsibility to help build large scale cloud-based data and analytics platform with enterprise-wide consumers.
$127,300 - $229,300 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Data Management and Segmentation: Manage and segment customer data within Salesforce Marketing Cloud for precise targeting and personalized messaging. The Marketing Cloud Engineer will both be designing and developing system enhancements, roadmap execution, and day-to-day operations of our marketing technology.
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Working in the Information Technology Department, the Systems Architect performs duties across multiple areas of information technology, such as applications, software development, computer hardware, server software, computer support, database analysis, data security, and other areas of the overall IT applications and infrastructure.
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Due to the unique complexities of the business such as technology and data security, it is time for a new partner with the appropriate expertise and resources to invest in the future growth of Kodiak.
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With Cognizant SAP, there are diverse career opportunities available to candidates due to our strong ecosystem of Hyperscalers (Microsoft, Google, AWS etc), Partnership with next gen technology providers like BluePrism, Automation anywhere; as well as companies like Syniti, Signavio and Qualtrics and of course, across SAP technologies and products like S/4HANA, Cloud & Technology ECC, SuccessFactors, BTP, Signavio, CX and Digital Commerce and Analytics.
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Bachelor's Degree Management Information Systems, Finance, Mathematics, Economics, Computer Science, Engineering, Statistics, Public Health, Epidemiology or related quantitative discipline. Master's Degree Master' s Degree Management Information Systems, Finance, Mathematics, Economics, Computer Science, Engineering, Statistics, Public Health, Epidemiology or related quantitative discipline.
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Develop and deploy items such as: SMS/MMS, Email Marketing, Journey Optimization, Subscriber lists, Salesforce Integrations (native connectors and 3rd party), Cloud Pages (front and back), data models and hygiene.
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big data technology science cloud jobs in Austin, TX
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