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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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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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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. - Design and implement data solutions in Azure, using services such as Microsoft Fabric, Synapse Analytics, Databricks, Databricks MLflow, Azure Event Hub, Azure SQL, Azure Blob Storage, ADLS Gen2, Log Analytics, Purview, Azure Functions, Azure Key Vault.
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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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Min 5 years of experience in modern data engineering/data warehousing/data lakes technologies on cloud platforms like Azure, AWS, GCP, Data Bricks, etc. Experience with ETL/ELT tools like ADF, Informatica, Talend, etc., and data warehousing technologies like Azure Synapse, Azure SQL, Amazon Redshift, Snowflake, Google Big Query, etc.
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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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Proven experience as an MDM Informatica Expert, with at least 6-8 years of hands-on experience in Informatica MDM migration to Informatica MDM to Cloud. Design, develop, and implement Master Data Management (MDM) solutions using Informatica MDM software primarily cloud migration.
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Must have a strong background in one or more of the following: Mathematical, Statistics, Probability, Deep Learning, Machine Learning, Natural Language Processing, Computer Vision, Recommendation Systems, Pattern Recognition, Large Scale Data Mining or Artificial Intelligence.
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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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Deep hands-on experience in Azure Databricks and all AZURE related technologies and functionalities such as Azure Synapse is a MUST. Proficiency in data analytics tools and technologies, such as Python, R, SQL, and cloud platforms (e.g., AWS, Azure.
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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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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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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 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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