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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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Position Overview:As a Senior Data Architect specializing in Data Discovery, Data Mapping, Data Modeling, Data Quality, Enterprise Information Model adoption, different types of Database Storage Systems involving relational, NoSQL, azure cloud data solutions, and Big Data Analytical Platforms, you will play a pivotal role in designing, implementing, and optimizing our data architecture artifacts to support advanced data initiatives.
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Identify ways to leverage emerging and disruptive capabilities including machine learning, natural language processing, deep learning, artificial intelligence, robotics/automation, internet of things, big data technologies, and digital enablement.
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Knowledge of relevant security applications such as EDR, Azure MFA, SIEM plus knowledge of big data solutions and tools including snowflake, databricks, powerBI, and tableau. DataBee is the BU's growth engine and is an innovative security & compliance data fabric platform, a new market segment rapidly replacing SIEM and other legacy security & compliance toolsets.
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Logility clients include Big Lots, Husqvarna Group, Parker Hannifin, Sonoco Products, and Red Wing Shoe Company. They will need the ability to configure and manage data flows from digital marketing campaigns across HubSpot, WordPress, social media including inbound leads, impressions, conversions and other data intelligence.
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Title : Big Data Engineer. Responsible for the administration, configuration, and optimization of the Databricks platform to enable data analytics, machine learning, and data engineering activities within the organization.
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Support the adoption of Cloud best practices and supporting technologies to enable such capabilities as DevSecOps, Big Data/Analytics, AI, Micro-Services. Any of the following: Cisco Certified Network Associate (CCNA), CompTIA Advanced Security Practitioner (CASP), (ISC) Certified Information Systems Security Professional (CISSP.
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Skills: Data Management, Snowflake cloud warehouse, ETL pipelines in and out of data warehouse, Python and Snowflake SQL, scripts using Unix shell, Data Lineage Analysis, Data Profiling Mapping Integration, ETL Validation Cleansing Masking Sub setting.
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Function as a subject matter expert in multiple service areas of data security and operations – Data Loss Prevention (DLP), data minimization, data discovery, cloud data protection, Privileged Access Management (PAM), data privacy, data classification and rights management, key and certificate management, data encryption, data access governance, etc.
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Utilizing knowledge of modern big data approaches preferred: e.g. PySpark, Apache Spark, Azure Databricks, Azure SQL, Azure ML, R, Python, Java, etc. Finance, Business Administration/Management, Economics, Statistics, Computer and Information Science, Management Information Systems, Engineering, Data Processing/Analytics/Science, Mathematics, Accounting.
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Big Brand Mastermind: You're a proven "Big Brand" builder, with a successful track record of launching and scaling challenger brands within the CPG landscape, specifically in beauty, wellness, personal care, or household goods.
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The role sits within the Group Claims function and reports to the Group Claims Data and Insights Manager, the data scientist will be part of a global agile scrum delivery team and will be expected to work with the team to meet the sprint goals, which drive towards the data platform product vision.
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Experience in designing and implementing data pipelines and ETL processes using tools like Azure Data Factory/Airflow and Azure Databricks/Azure Synapse. Knowledge of Azure Data Platform including Azure SQL Database, Azure Synapse Analytics, Azure Databricks, Azure HDInsight, Azure Cosmos DB, Azure Data Lake Storage, Azure Stream Analytics, and Azure Data Factory.
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Maintains awareness of emerging analytics and big-data technologies. JOB DESCRIPTION/SCOPE : Designs and develops methods, processes, and systems to consolidate and analyze structured and unstructured, diverse sources including big data sources.
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Must have: Proficient in SQL and database technologies (e.g., Oracle, SQL Server, PostgreSQL) with hands-on experience in ETL processes and data integration tools. Nice to have: Conduct harvesting of lineage and loading of data catalogs from Azure Synapse, including import/excel based manual documentation of lineage for Raw Zone (L1), Curated Zone (L2), and Consumption layer (L3.
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big data jobs Title: senior developer in Atlanta, GA
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