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Big Data Architecture, Cloud Data Platforms Architecture (Azure, Databricks, Snowflake), In-house Big Data Platforms (Hadoop, Teradata, Exadata) This role provides you with a broad platform to build partnerships with business and risk counterparts, a vantage point to explore end-to-end data ecosystems and technologies, and ability to co-develop data solutions for GRM that drive the greatest value across the organization.
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Computershare has an exciting opportunity for a permanent full-time Senior Software Engineer (FileNet) to join our Computershare Corporate Trust (CCT) Technology team. Custom code development needed to address business needs with the FileNet platform, custom document extractions/injestions, bulk meta-data updates, document class design/implimention, integration with external applications via MQ, Web Services, and other technologies.
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Big Data: Apache Spark, YARN, Livy, ZooKeeper, Ranger, Knox, Polybase. Machine Learning: SparkSQL, Java, Scala, Python, Jupyter. At Blueprint, you'll have the opportunity to work with multiple clients and teams, such as data science and product development, all while learning, growing, and developing new solutions.
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Experience in any cloud data warehouse like Synapse, Big Query, Redshift, Snowflake. Optimize Databricks jobs for performance and scalability to handle big data workloads.
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Prepare Electrical Equipment Specifications, Data Sheets, Purchase Requisitions and Bid evaluations for Paper Machine Drives, Switchgear, Transformers and other electrical equipment as required.
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Big Data management practices, Microsoft SQL Server / SSIS development, PySpark, Scala Spark, Lead the CAs and audits for Prisma, Guardium, App Security and associated controls sustainability and prod supportLead organic modernization of legacy applications as well as build functional data expertise on vulnerability management and application security domains.
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Must be knowledgeable of network, PLC or DDC hardware and software, and Human-Machine Interface (HMI) software used in Building Management System applications. Knowledgeable of Human-Machine Interface (HMI) software and capabilities.
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This role facilitates the implementation and maintenance of business and enterprise software solutions to ensure successful deployment of released applications. Job Summary The primary purpose of this role is to translate business requirements and functional specifications into logical program designs and to deliver code modules, stable application systems, and software solutions.
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Have a chance to use machine learning tools to develop data-driven solutions. You will also manage top level Risk KPIs, establish core operational metrics, and make improvements by using machine learning solutions or through analysis.
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IT / Data Engineering Responsibilities: o Champion the migration of applications to open-source platforms, PaaS and use of containers and other cloud technology standards for cloud-enablement and platform agility.
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You will partner with product, engineering, operations, machine learning engineers, policy and sales team to influence Square's global Risk road map and processes. Partner with Product, Engineering, Machine Learning Engineering, Policy and Operation teams to design solutions to business problems, influence product roadmaps, and develop new products/processes.
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Showcase mastery with multiple design tools, including HEC-HMS, HEC-RAS (1D, 2D), RAS Mapper, QGIS, Global Mapper, TR-55, GIS software, Civil3D, and AutoCAD.Have familiarity with programming languages like MATLAB, Python, R, or VBScript.
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Proficient in the use of Autodesk software for 3D modelling and design. Utilize Autodesk software to create detailed design plans and blueprints. This role is perfect for a seasoned Mechanical Engineer who is passionate about problem-solving and enjoys the challenges of a fast-paced manufacturing environment.
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Demonstrated proficiency in the design and implementation of modern data architectures and concepts such as cloud services (e.g., AWS, Azure, GCP), real-time data distribution (e.g., Kafka, Kinesis,DataFlow, Airflow), NoSQL (e.g., MongoDB, DynamoDB, HBase, CosmosDB) and modern data warehouse tools including Snowflake and DataBricks.
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Interpret software and hardware purchase orders and input data into ServiceNow. Develop and execute governance to normalize, reconcile, and ensure the accuracy of asset data in ServiceNow. Develop governance and processes to enable total visibility of software purchases and installations.
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