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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 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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Must have hands-on experience in developing applications and customizations in Teamcenter PLM environment. Hands-on expertise in configuring Tiles, Workspaces, themes, stylesheets index configurations, and search configurations to optimize user experience and functionality.
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Experience with big data technologies and tools (e.g., Databricks, Hadoop, Spark) is a plus. As a Computer Scientist/Engineer on the Fraud Team, you will be at the forefront of developing and executing an innovative strategy utilizing Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Natural Language Processing (NLP), Large Language Models (LLM), and Multi-Agent Systems to combat a variety of fraudulent activities.
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A hands-on expert in SAP Treasury core components, spanning Cash management, Transaction manager, In-house cash, Risk analyzers, Liquidity planner, Hedge management and accounting, SWIFT integration, BCM, and integration with financial accounting and other applications.
$128,235 - $213,725 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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With tech innovation an integral part of our core business, the booming city proved an ideal backdrop for our heavy investment into machine learning, research infrastructure and big data computing.
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Hands on strong Java frontend and backend programming, J2EE, hands-on experience with Spring Framework, Spring Boot, Spring MVC, RDMS databases like (Oracle, PostgreSQL, SQL Server), File systems, Designing Large scale Applications and AWS.
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Have experience with both proprietary and open-source big data technologies and platforms (Snowflake, Vertica, Hive, Spark, Presto, Airflow). The individual will work in the capacity of a Senior Data Engineer focusing on the data deliverables for Business and Studio.
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Lead the design and implementation of complex cloud solutions using Microsoft Azure, focusing on integration with Databricks and Azure Data Factory. Azure Data Engineering or Databricks Certification, and expertise with other cloud data platforms (AWS, Snowflake) preferred.
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Familiarity with BMIDE (Business Modeler Integrated Development Environment) and its utilization for configuring and customizing Teamcenter data models, data types, and. consuming these services on the Active Workspace client side.
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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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Hands on experience/expertise in Master Data Governance including (but not limited to): Material Master, Finance Master Data Objects, Customer, Vendor. Minimum of 3 end-to-end SAP Master Data Governance implementations.
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You will design, develop and automate secure, robust, and high-performing data platform solutions to drive CAIS business growth using Python, Kotlin, Snowflake, DBT and Kubernetes. Extensive experience with DBT and Snowflake for data warehousing, demonstrated through the creation and management of complex SQL/ETL/ELT data workflows.
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With AMD, you will benefit from a combination of hands-on training and real-world work experiences that will give you a competitive edge. 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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Validated experience in a similar role such as Solutions Architect, Technical Consultant, or Pre-sales Engineer, with hands-on experience with GenAI Search or equivalent technologies. This hands-on role requires you to be proactive, with a keen understanding of our customers' technical landscape and a commitment to making their journey with Elastic GenAI Search successful and valuable.
$150Full-timeExpandApply NowActive JobUpdated 1 month ago
hands on big data jobs Company: Visa in Austin, NY, Nebraska
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