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Provisioning and managing Databricks cluster and Knowledge of HDInsight, Azure Functions and Azure DevOps is a big plus. � In-depth knowledge Data processing techniques and handling large data sets � Hands on experience using Azure Blob storage and Azure Data Lake Services for storing data � Hands on experience using Databricks in at least 2 projects, creating notebooks using Scala/Python.
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The Enterprise Cloud Team is looking for a Senior Cloud Engineer with hands-on Microsoft Azure cloud engineering experience and required Databricks infrastructure, performance, hands-on.
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Architecture and Design: Architect robust and scalable data pipelines and analytics solutions on Azure Databricks, leveraging services such as Apache Spark, Delta Lake, and MLflow. As the Azure Databricks Tech Lead, you will play a pivotal role in architecting, implementing, and optimizing Azure Databricks solutions to support our data engineering and analytics initiatives.
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Engineer cloud-based analytics solutions on AWS, Azure, Databricks, GCP, Snowflake, Oracle, Informatica Cloud and a combination of native cloud technologies, including computing at edge and curating data-in-motion.
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Experience in developing & building high to medium complex data pipeline for Enterprise Data Hub using ADF, Databricks, DBT, Azure Cloud Services, MS SQL Server ADW/DB, Python, PySpark, Devops.
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Job DescriptionSummary:The Enterprise Cloud Team is looking for a Senior Cloud Engineer with hands-on Microsoft Azure cloud engineering experience and required Databricks infrastructure, performance, hands-on.
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You will be working with all levels of technology from backend data processing technologies (Databricks/Apache Spark) to other Cloud computing technologies / Azure Data Platform. Significant hands-on experience with Azure services such as Azure Data Factory (ADF), Azure Databricks, Azure Data Lake Storage (ADLS Gen2), Azure SQL, and other data sources.
$97,500 - $173,675 a yearExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Integrating Databricks with other Azure services and tools such as Data Factory, Synapse Analytics, Power BI, etc. We are looking for an experienced Azure-Databricks developer to join our team and build scalable and reliable data solutions within Finance application landscape.
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Design, Implement and maintain Data platforms, Compute services using Databricks, Azure Functions, Service Bus, Container Apps and SPARK computing etc. Experience with the Azure Services and Data components: Container based solutions, Microservices, Streaming Solutions, Python & Spark Compute, Spark SQL, Azure Integration services, and ingestion tools such as ADF, Snowflake, ADL, and GenAI Cognitive capabilities.
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The ideal candidate will have strong Microsoft Azure Cloud skills - Azure Data Factory, Azure Databricks, Power BI, SQL, Ability to guide and mentor junior engineers, Data and Analytics Thought leadership, and a passion towards Data and Analytics.
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Collaborating amongst team members across several geographies, our Cloud practitioners engineer cloud-based analytics solutions on AWS, Azure, Databricks, GCP, Snowflake, Oracle, Informatica Cloud and a combination of native cloud technologies, including computing at edge and curating data-in-motion.
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Databricks Certifications (ie: Data Engineer Associate; Data Engineer Professional, Machine Learning Associate, Machine Learning Professional) Experience with Cloud using Amazon Web Services (AWS), Microsoft Azure, and/or Google Cloud Platform (GCP.
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Experience with Databricks Unity Catalog. 2+ years experience implementing data solutions on the Databricks Data Intelligence platform, to include Delta Lakes. Experience with Databricks.
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Hands-on evaluation and testing of tools and technologies, including Databricks and Azure , to support data platform management, data extraction, UI/UX presentation, and generative AI. Hands-on experience with Databricks and Azure , including implementation using Unity Catalog.
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You will be utilizing Snowflake and/or Databricks tools, cutting-edge DevOps technologies, developing advanced analytics products, and applying data and statistical programming tools to enterprise data to advance and enable key mission outcomes within cloud environments (GCP, AWS, Azure.
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