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Business intelligence combining knowledge of SSIS/SSAS/SSRS/Power BI technologies with a deep understanding of data structures/data models to design, develop, and tune BI solutions and reports.
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Role: Data and AI Architect - Remote. Big Data implementation – using Open Source and NoSQL technologies such as Databricks, Spark, Spark Streaming, Kafka, Storm, Zeppelin, Scala, Software development, Hadoop Hive, Hadoop Map Reduce, Hadoop Clusters, Cosmos DB, Azure Data Lake Storage (ADLS.
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Experience working with and configuring enterprise data visualization tools (e.g. Qlik, Tableau, Power BI) Data enterprise engineer architect dremeo snowflake nyc. Significant experience implementing advanced data and analytics solutions on a modern data platform (e.g., Dremio, Databricks, Snowflake.
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Required Skills: A senior delivery manager with 10+ years of relevant experience in the definition, analysis, implementation of data management related initiatives Financial service industry acumen and experience to lead large cross-functional initiatives in information architecture, reference models management and data integrations Deep understanding of data architecture principles, database technologies (SQL and NoSQL), data integration, BI and ETL processes.
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Job Title: Data and AI Architect. Advanced data analytics – designing and building solutions using technologies such as Azure Data Factory, Azure Data Lake, HD Insights, SQL DWH, Stream Analytics, Machine Learning, R Server, Synapse, Azure Machine Learning (AML), Azure Kubernetes Service (AKS) for model deployments, Vector and Retrieval-Augmented Generation (RAG) implementation.
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Role: Data and AI Architect. Data Governance and Security – using tools such as Purview to manage data governance and ensure data security. Unity Catalog – managing and securing data lakes with Unity Catalog for centralized governance and auditing.
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Azure Metrics Advisor – monitoring and diagnosing issues in time-series data. Performance Optimization – optimizing the performance of data pipelines and Spark applications to ensure efficiency and scalability.
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Develop applications with focus on using development in Extract, Transform and Load (ETL), Java, Python, PL/SQL, CKAN, JSON, XML,Informatica, AWS,Hadoop,Talend Business Intelligence (BI), Postgres and several other Open Source tools.
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To implement data quality processes for use in BI solutions, data warehouses etc. Role: Azure Data Architect. To create strategies and design solutions for wide variety use cases like Data Migration (end to end ETL process), database optimization, data architectural solutions for Analytics and Big Data Projects.
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Experience in platforms such as Microsoft Fabric, Power BI, Databricks, & Dataiku. Experience: 8+ years overall experience with 2+ years as an Enterprise Data Architect or a similar role with a focus on large scale projects and initiatives.
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10+ years of work experience in Information Technology and 5+ years working as Data Architect or Data Engineer. Experience with Analytics and BI/Tableau, Power BI. Design and architect and execute on Data Fabric / Data Mesh solution/Evaluate tools, (external or internal) and aid in the development of tools to enable and support the Data platform.
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Expert knowledge and delivery experience with Tableau, Power BI, Qlik, or any other data visualization tools. Knowledge or experience working with cloud data warehouses (Azure, Snowflake, GCP, AWS.
$150,000 - $175,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Expertise with data visualization tools such as Power BI, Looker, Tableau, or similar. Experience using Azure services for Security, Blob Storage, Data Lake, Databricks, Data Factory etc.
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