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Advanced 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.
Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Assisting in the strategy and implementation of Master Data Management, Data Governance, Enterprise Data Management, Enterprise Content Management and Knowledge Management using modern techniques and approaches.
$325,800 a yearFull-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Implement data cataloging, classification, and lineage using Azure Purview, developing data governance policies, and ensuring compliance. Integrate and configure Profisee Master Data Management tools within Azure, focusing on data governance and quality.
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Experience in recommending data governance best practices including MDM, security, privacy and policies. Ability to assess traditional and modern data architectural components based on business needs.
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Architect and implement big data processing solutions using Databricks, leveraging Apache Spark for data transformation, ETL processes, and machine learning workflows. Implement data security, data governance, and compliance measures within the Databricks environment using Unity Catalog.
ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Translate SAP S4 HANA data governance and stewardship policies and processes to business workstreams (Order To Cash, Procure to Pay, Record to Report) and clearly communicate the value and benefits it brings to SAP S4 HANA downstream processes.
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Expertise with Google Cloud Platform’s distributed Machine Learning, Data Science and Data Engineering tools (e.g. BigQuery ML, VertexAI, AutoML, Docker, Kubernetes, Kubeflow, Dataproc.
$140,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Indepth experience with data governance data integration and related technologies. 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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Collaborate with data analyst and business intelligence teams to design data visualization solutions and reporting on adherence to data architecture and data governance metrics.
Full-timeExpandApply NowActive JobUpdated 22 days ago - UpvoteDownvoteShare Job
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Minimum 3 years of professional experience in an eLearning developer, learning content developer, multimedia learning developer, educational animator or something similar; must have current portfolio.
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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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Rchitect and implement big data processing solutions using Databricks, leveraging Apache Spark for data transformation, ETL processes, and machine learning workflows. Proficiency in Databricks, Apache Spark, and related big data technologies.
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Experience with deep learning, data science, and NVIDIA GPUs. A validated understanding of the business issues of large CSP, accelerated Computing/ Data Center technology/ Deep learning & machine learning.
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Minimum of 4 years hands-on experience on leading MDM application architecture, design, development and deployment of Informatica MDM end-to-end implementation including core MDM, Data profiling, Data Quality, Data Governance and Data integration across batch, near real and real time interfaces.
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Experience with cloud and modern data science tools and platforms such as Databricks MLFlow, GCP BigQuery, AWS SageMaker, Kubeflow, and Azure ML/ Azure AI Studio. Apply fundamental and advanced quantitative methods, including machine learning and statistical modeling, to solve complex business problems and enable data-driven decision making (e.g., build statistical and machine learning models for trend analysis and forecasting to predict future business outcomes for a Fortune 100 company.
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modern data governance learning jobs in Chicago, IL
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