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Provide technical expertise and guidance on the selection, and hands-on implementation, and optimization of big data platforms, tools, and technologies across multiple cloud environments (e.g., AWS, Azure, GCP, Snowflake, etc.
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We are looking for a hands-on Azure Data Architect who is experienced with Azure data services, Databricks, and has worked with a data scientist team.
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Proven experience as a Data Engineer with a focus on Microsoft Azure technologies. Expertise in handling diverse file structures, including Avro, JSON, ORC, Parquet, Feather, and delimited formats, showcasing the ability to navigate and manipulate data effectively across various Azure platforms and big data processing frameworks.
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This Data Scientist will focus on architecting, deploying and evaluating the feasibility of emerging technologies within the fields of Data Science, Artificial Intelligence and Machine Learning.
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Advanced and hands on experience using: Python, Databricks, Azure ML, Azure Cognitive Service, Ads Data Hub, BIQuery, SAS, R, SQL, PySpark, Numpy, Pandas, Scikit Learn, TensorFlow, PyTorch, AutoTS, Prophet, NLTK.
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In addition, the candidate should also have some hands-on experience working with the Azure platform and primarily: Azure Data Warehouse / Synapse, Azure Data Factory, Azure Data Lake, Databricks and Azure Analysis Services.
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Relevant certifications such as Microsoft Certified: Azure Data Scientist Associate or AWS Certified Machine Learning are advantageous. 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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Deep hands-on experience in Azure Databricks and all AZURE related technologies and functionalities such as Azure Synapse is a MUST. Overall 15+ years in data analytics consulting and at least 10+ Senior Architect role within a consulting firm with a focus on data analytics, advanced analytics, Cloud and Artificial Intelligence.
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Hands-on experience with database systems (e.g. SQL, NoSQL, vector, search) and data warehousing solutions (e.g. Snowflake, Redshift, BigQuery) Strong understanding of data processing technologies and distributed computing frameworks (e.g. Hadoop, Hive, Airflow, Spark, DBT, Kafka, Flink.
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Perform design, documentation, development, testing, installation and support of complex data ETL/ELT pipelines, using Azure Databricks and Snowflake. Experience building data pipelines using Azure Databricks and integrating with Snowflake.
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Direct hands-on involvement in the management and optimization of IT services including Microsoft Azure, Office 365, Intune, Co-Pilot, and Fortinet products. Technical Proficiency: Deep technical knowledge and hands-on experience with: Cloud and Virtualization: Microsoft Azure, VMware, and Hyper-V.
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Overview: The Azure Cloud Architect is responsible for designing, implementing, and managing cloud solutions on the Microsoft Azure platform. Proven experience as a cloud architect or similar role, with expertise in designing and implementing cloud solutions on the Microsoft Azure platform.
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Hands-on experience with guiding the virtual data model definition, defining Data Virtualization architecture and deployment with focus on Azure, Databricks, PySpark technologies.
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Extensive hands-on experience in Azure Databricks fundamentals/architecture, including setting up and optimizing Azure Databricks clusters and modules (Data Engineering, ML, and SQL warehouse.
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Hands-on experience with Azure Data Factory and familiarity with other Azure services. The ideal candidate will have a strong background in data processing and transformation using Databricks, proficiency in SQL and Python, experience with Azure Data Factory , and a solid understanding of data warehouse migration strategies.
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hands on microsoft azure data processing jobs Title: senior data scientist in WA, Ohio
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