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The role of an HR Data Visualization & Governance Analyst is essential to the HR Reporting and Analytics team. Conducted regression testing on the Azure SQL Data Warehouse and Power BI infrastructure every time significant changes were made to our data pipelines.
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The Data Analyst evaluates a range of Monitor and Combat Trafficking in Persons’ (J/TIP) data sources and uses data analytics and data visualization techniques to help the J/TIP office to better explain the complex issue of human trafficking and the impacts of the office’s anti-trafficking work to the public and other stakeholders.
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Full stack software engineering experience, with proven experience in data visualization modules or frameworks like Python Dash and R Shiny. 3+ years of hands-on experience as a quantitative developer developing financial models and software solutions.
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You'll use your expertise in Python, SQL, and data visualization tools to clean, analyze, and transform data from multiple sources, including DC&I, environmental, safety, and financial.
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At least 1 year of hands-on experience with a cloud data platform (Databricks, Snowflake), preferably working with digital analytics data. Build automated reporting and dashboards using data visualization tools (primarily Power BI.
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Data Visualization: Tableau, Power BI, MS Excel. Conduct complex data analysis and report on results, prepare data for prescriptive and predictive modeling, combine raw information from different sources.
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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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Extensive hands-on experience implementing Lakehouse architecture using Databricks Data Engineering platform, SQL Analytics, Delta Lake, and Unity Catalog. Extensive hands-on experience implementing serverless real-time/near real-time architecture using Cloud native services (i.e., Azure, AWS or GCP Tech Stack), and Spark technologies (e.g., Spark Streaming, Spark ML.
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We are seeking a hands-on Senior Data Engineer with extensive experience (Hands on) in Azure data services and Databricks. Design and implement data solutions using Azure services (e.g., Synapse Analytics, Databricks, Snowflake, Azure SQL, Azure Blob Storage, ADLS Gen2, Azure Functions, Azure Key Vault, AI/ML.
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Minimum of 4 year’s of experience in Data Architecture and delivery experience on one of the Cloud platforms (Azure, AWS or GCP) You will be part of a highly collaborative and growing network of technology and data experts, who are taking on today’s biggest, most complex business challenges using the latest data and analytics technologies.
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You will have an opportunity to work in roles such as Cloud Data Engineer, Data Modeler or Data Architect covering all aspects of Data including Data Management, Data Governance and Data Migration.
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Minimum of 4 year’s of experience in Databricks engineering solutions on one of the Cloud platforms (Azure, AWS or GCP) Familiarity with the Technology stack available in the industry for data management, data ingestion, capture, processing, and curation: Kafka, StreamSets, Qlik/Attunity, GoldenGate, Hadoop, Hive, Hbase, Cassandra, Spark, Flume, Hive, Impala, etc.
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Experiencing building in data visualization platforms such as Tableau, Google Data Studio, Microsoft Power BI, Datorama, Looker Domo, etc. Data Visualization/Data Intelligence: Work with our Strategy team to create informative and appealing graphical data representations to summarize relevant insights and tell impactful data stories for a variety of stakeholders (from executive C-level to tactical campaign managers/analysts.
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Experience in data governance fields as lineage, quality, catalog etc. Cloud data migration methodologies and processes including tools like Azure Data Factory, Event Hub, etc. Minimum of 7 year’s of experience years of experience in Big Data/Hadoop, database and data warehouse architecture and delivery.
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With over 45,000 professionals dedicated to Data & AI, Accenture’s Data & AI organization brings together our Experienced Innovation, Strategic Investment, Exceptional Talent, and Power Ecosystem.
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hands on data visualization jobs Title: data analyst Company: Intuit in Ruther-glen, District Of Columbia
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