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Skilled in modern data platforms (Azure Synapse, Databricks, Redshift, Big Query, Snowflake). Experience in master data (MDM), metadata, and data governance tools (Alation, Erwin, Collibra, Azure Purview.
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Develop and optimize Databricks notebooks for big data processing and analytics in Azure Databricks environments. Implement data cataloging, classification, and lineage using Azure Purview, developing data governance policies, and ensuring compliance.
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Application Development, Enterprise Services, Governance, Risks, and Compliance, ERP, Mobile Apps, Digital Transformation, Cloud, Big Data, Analytics, CRM, Data Governance, Data Integration, and IT staffing.
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Data bases (SQL, NoSQL) and Data Platforms (Databricks, Snowflake) Strong skills with Database management, Data modeling and design DevOps and Security CI/CD, Serverless compute, OAuth, SSO, MFA etc.
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Experience in implementing DevOps practices using Azure DevOps or related tools to automate deployment, manage configurations, and ensure continuous integration and deployment for data solutions.
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Experience in working with big data technologies and platforms such as Azure Databricks, Spark, Snowflake, Azure Data factory etc. Implementing best practices for data management in Microsoft Azure, such as data quality, data governance, data security, data lineage, data cataloging, etc.
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InterVision is an AWS Premier Partner and Microsoft Azure Gold Partner with a rapidly growing team of world class AWS and Azure Solution Architects, Cloud Engineers, DevOps Specialists, Security Specialists, Network specialists, Database specialists, Big Data specialists, and ML/AI data scientists.
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Minimum 5+ years of hands-on Data Management, Big Data, Master Data governance, and analytics solution design, development, and implementation experience that include MS Synapse, Azure Data Lake, Azure Data Factory, Snowflake, SSIS, SSRS, and/or Power BI.
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Knowledge of data security practices, cloud architecture principles, scripting languages for automation, data visualization tools, DevOps practices, machine learning frameworks, performance tuning, and data governance tools.
ExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Skills: SQL, Azure, Data Bricks, Data Lake, ETL, Data Security/Compliance/Governance, Azure DevOps, Data Factory, Big Data Platforms, Microsoft Azure Data Warehouse.
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Extensive experience with Azure data services, such as Azure Data Factory, Azure SQL Database, Azure Databricks, and Azure Synapse Analytics. The ideal candidate should have extensive experience in Azure and SQL technologies, possess strong leadership skills, and demonstrate a deep understanding of data engineering best practices.
ExpandApply NowActive JobUpdated 27 days ago - UpvoteDownvoteShare Job
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Proven experience (10+ years) in data engineering, with a focus on designing and implementing solutions in Azure. Exhibit a solid understanding of database design, data warehousing concepts, big data platforms, and ETL operations.
$170,000 - $190,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Proven experience in cloud platforms (data services), big data technologies, Azure cloud services, including Azure Functions, Azure Synapse pipelines and AWS cloud services.
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Working knowledge of DevOps and DataOps including feature planning, version control, multi-environment, CI/CD, data-modeling, automation, governance, and continuous improvement. Experience building enterprise scale data pipelines on Cloud Data Platforms using Spark and Databricks for ETL/ELT, data products, or Machine Learning; Azure preferred.
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Use modern data engineering practices and frameworks to create scalable big data solutions for analytics and machine learning, while ensuring data quality. A proven track record building and optimizing big data pipelines for analytic solutions.
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