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Hands on experience with modern cloud data warehouse and engineering for one or more of the following cloud providers - GCP (Big Query, Vertex, Cognitive Services), Snowflake, Azure (Synapse, Dynamo, Cosmos, Azure ML, Power BI), AWS (Redshift, Sage maker), Tableau.
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Interns will help drive deployment and support of Caterpillar's key digital products and maturing data management processes. + Demonstrated experience with several of the following: Python, Java, SQL, Snowflake, AWS/Azure, Tableau, Power BI, Google Analytics, Machine Learning, Deep Learning, Salesforce, React, JavaScript, Node.js, HTML, UI Design, UX Research, writing API's for deployment, etc.
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Data Strategy Execution: Implement the holistic data strategy developed by the CIO. Execute data governance frameworks and data management practices. Execute initial phases of the CIO's data strategy and management approach.
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Sr. Azure Data Engineer Lead DataBricks ADF Medallion Architecture As an Sr. Data Engineer Lead you will be a part of an Agile team to build healthcare applications and implement new features while adhering to the best coding development standards.
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We are working on challenging projects, migrating ETL jobs from Talend to DataBricks, building workflow automation solutions using Microsoft Power Platform, data flows with Azure data lake storage and DevOps environment set up.
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Familiarity with ETL transformations between data stored in MS SQL Server Management Studio, Azure SQL Database, Oracle databases and ServiceNow. Experience with scripting languages, Bash, PowerShell, Google Script and some C and Python.
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Experience with GitHub Actions, Azure DevOps Pipelines. Design of consistent standards, principles, policies and reference models in the area of IT Strategy and Enterprise Architecture including application, security, infrastructure, information/data, data analytics and integration architecture.
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We enable organizations of all sizes to easily build, scale, and run modern applications by helping them modernize legacy workloads, embrace innovation, and unleash AI. Our industry-leading developer data platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available in more than 115 regions across AWS, Google Cloud, and Microsoft Azure.
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ETL, Data management & Data solutions (AWS Glue, Azure Data factory, Snowflake, Databricks, Redshift, Cosmos. CI/CD pipeline management, including operationalization of data science AI/ML pipelines.
$270,000 a yearFull-timeExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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We are building a team of Technical and Functional Murex Consultants in Chicago responsible for enhancing and supporting current Murex Enterprise Risk Management implementation. Expertise in Murex, particularly Credit & Market Risk configurations (PFE, CVA, VaR), Trade interface development (TDS, LTS), Market Data interface development (mdit), static data interfaces, workflow configuration, datamart reporting.
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A Professional License (e.g., Registered Architect or Professional Landscape Architect), or on the path to licensure. Excellent time management, organizational, and research and problem-solving skills.
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Knowledge and experience in Data Analytics, AI/ML and/or PaaS, IaaS technologies, Apigee and/or Looker relating to the Google Cloud Platform is desirable. This is likely to have been gained in a pre-sales consulting, solution architect or solution engineering capacity where you have supported innovation and go to market strategies for a Google Cloud/GCP solutions provider.
$252,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Expertise in Big Data technologies (e.g., Spark, Databricks) and data processing frameworks. Expertise with Big Data Database is highly desirable including Snowflake, Redshift and Synapse.
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One or more of the following certifications: SANS GIAC certifications, AWS or Azure certifications, ISC2 Cloud Security Certification (CCSP), or Kubernetes/container (CKA/CKS) certifications. Strong understanding of Cloud Security principles and poses the ability to apply those principles to a hybrid cloud environment including Microsoft Azure.
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Architect and implement big data processing solutions leveraging Apache Spark for ETL, data transformation, and machine learning workflows. Design and architect scalable, high-performance, and cost-effective cloud-based solutions using Azure services and Databricks.
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azure architect data management jobs Title: technical architect Company: Appian in Chicago, IL
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