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The Lead Business Data Architect will have expertise in cloud/prem platforms and data framework to support the enablement of data engineering and analytics capabilities; ultimately driving a harmonized and integrated data ecosystem to support Marketing Campaign Operations & Analytics.
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Build and maintain reliable, automated, and scalable ETL pipelines on Azure data platforms, supporting critical business functions and analytics, with a strong focus on Azure Databricks and Azure Onelake.
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Azure certifications include Microsoft Certified: Azure DevOps Engineer Expert, Microsoft Certified: Azure Solutions Architect Expert, etc. Hands-on experience with Azure DevOps, Azure Resource Manager (ARM), and/or Terraform.
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Data Architecture & Tools: modern cloud data platforms (Snowflake, Databricks, Big Query, RedShift), data analytics tools (Tableau, Looker, Power BI), data programming models (DataFrames, pandas), and AI (Python, R, Jupyter Notebooks, data wrangling, machine learning.
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We are interested in a variety of topics including data visualization and interactivity, applied machine learning and AI, AI bias and trust, big graphs, natural language processing, data mining, big data management, and heterogenous data analytics.
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Derek Bang, the practice founder and inventor of the group’s flagship software product for net revenue reporting, Revenue Cycle Analytics (RCA) came to Crowe nearly 20 years ago with an idea for a strategic pursuit in the Healthcare Industry through his previous experience as a Healthcare Auditor at a Big 4 firm.
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As a lead engineer with Retail, Site Reliability Engineering team, you will be at the forefront of Cloud and Big Data technology. Maintain data integrity and access control by using AWS security tools and services such as HSM, IAM, etc.
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Expertise in big data technologies (e.g., Hadoop, Spark, Kafka, and cloud platforms like AWS, Azure, and GCP). Design, develop, and maintain data pipelines using big data technologies (Spark and cloud platforms Azure) with a focus on efficiency, reliability, and scalability.
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Design, develop and deliver data integration/data extraction solutions using IBM DataStage or other ETL tools and Data Warehouse platforms like Teradata, BigQuery. Job Role: GCP Data Engineer.
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In depth knowledge of modern data technologies including Snowflake, RedShift, Azure SQL/Synaspe, Databricks or similar technologies. Extensive experience or knowledge of cloud-based data platform technologies such as AWS, Microsoft Azure or Google Cloud Computing.
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Under broad supervision, the IT Solutions & Integration Architect designs and implements innovative enterprise solutions, including Esri ArcGIS GIS solutions, that integrate data and platform technologies to meet the organization.
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Proven experience on Hadoop/Big Data migration to Snowflake: Having Spark and Spark SQL. Mandatory Skillsets:- Snowflake, Big Data and Hadoop, Spark and Scala. Developing ETL pipelines in and out of data warehouse using combination of Python and Snowflakes SnowSQL Writing SQL queries against Snowflake.
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Knowledge or experience working with cloud data warehouses (Azure, Snowflake, GCP, AWS) Strong knowledge and experience with ETL tools like Power Query, Azure Data Factory, FiveTran, Stitch, Alteryx and languages like SQL, Python or R.
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Exceptional Microsoft SQL Server design and development skills Service Development: RESTful APIs, Microservices, ASP.Net Core, Azure API Management, Azure API Apps Data: Microsoft SQL Server, Azure SQL, Entity Framework/CosmosDB, MongoDB (nice to have) Strong JavaScript framework experience with React.
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Experience with/in any of the following is preferred: Applied ML or other data science projects (e.g., Feature Engineering, Predictive Analytics, ML Pipelines); Business Intelligence (BI Tools) including Tableau, Spotfire, Qlikview, and/or Power BI; Cloud based systems on Azure or AWS.
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azure architect big data jobs Title: databricks in Atlanta, GA
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