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Able to design and Architecture in D365 and Power Platform solutions using Model Driven Apps, Dataverse, Cloud Flows, Power BI, Hands-on experience working with multiple data sources including Dataverse (CDS), SQL/Azure SQL, SharePoint, and other connectors.
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Have a solid understanding of the D365 F&O technology stack and the peripheral technologies that can be leveraged including, but not limited to, Azure, Azure SQL, Power BI, Common Data Service, Power Apps, Azure Logic Apps, Azure Machine Learning, etc.
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AI and Machine Learning, Azure Blobs, Office 365, Dynamic 365, Logic apps, Power apps, MS Flow, Power BI, Sharepoint o GitHub DevOps, CI/CD, workflows, actions and Ansible automations Skills Required : o Cloud solutions, design, architecture and security o Evaluating hardware.
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Visualize/present data for stakeholders using: Microsoft Power BI, Periscope, Business Objects, D3, ggplot, etc. Minimum Experience: 2 years of process engineering experience in a chemical or petrochemical environment; with at least 2 years of experience using timeseries tools such as SEEQ, natural language processing (NLP), building predictive maintenance machine learning productions and taking them to production, building machine learning solutions with cloud tools (AWS, Azure, Google cloud), and knowledge of applying overall equipment effectiveness (OEE) calculations.
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Python ecosystem preferred, R will be acceptable, machine learning libraries & frameworks (e.g. TensorFlow, PyTorch, scikit-learn) and familiar with data processing and visualization tools (e.g., SQL, Tableau, Power BI.
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Experience building Business Intelligence Analytics and Visualizations using Qlik Sense, Tableau, Spot Fire, Microsoft Power BI or other technology. Experience in AWS/Microsoft Azure and Cloud ready applications.
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We leverage leading technology stacks like Microsoft Azure, AWS, Google Cloud, Microsoft Power BI, Anaplan, Qlik, Tableau, SAS, Cloudera, Redhat and many others - to match your business goals with optimum technology solutions for all your stakeholders.
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Your primary tasks will include troubleshooting and tuning existing systems, writing and modifying SSRS and Power BI reports, designing and improving ETL processes, and maintaining Azure DevOps Pipelines.
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Hands-on experience with Databricks or similar tools, and Power BI or equivalent BI tools. Train and support users in reporting toolsets like Power BI to foster a self-service reporting platform.
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Architectural understanding of reporting tools (e.g., Tableau, SSRS, Crystal Reports and Power BI) Experience in CI/CD pipelines using Azure DevOps. Experience with MS Azure/AWS or other cloud-based data warehouse systems.
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Knowledge/experience in Azure Logic Apps, Power Bi , Power App tools. Design and Implementation of data products using Azure databricks. Experience in Azure Databricks.
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The Microsoft Power Platform (Power Automate, Power Apps, Microsoft Copilot Studio, Power BI) is a rocket ship fueled by organizations across the globe investing in low-code/no-code development to accelerate their digital transformation ambitions.
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Experience with data visualization tools such as Power BI and Tableau. Knowledge of distributed databases such as Redshift, Snowflake, Azure Synapse, and BigQuery. Experience with cloud based data services offered by Azure, AWS and Google.
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They enjoy the challenges of consulting and thrive to knock the socks off of clients. 2+ years with databases such as SQL Server, Oracle, MySQL. 2+ years data warehouse, dimensional modeling design and architecture.
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3+ years of experience developing data visualization tools using Spotfire and/or Power BI. 1+ years of experience with Cloud DevOps and Infrastructure as Code (IaC) in Azure and or AWS.
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