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Conduct data extraction, cleaning, and analysis using Python, R, SQL, and SAS to prepare datasets for modeling. Involvement in AI projects for federal clients, experience with financial compliance tools (e.g., Anti-Money Laundering), and experience in data strategy roles.
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Data Engineering & Cloud Services: Utilize a comprehensive tech stack, including Python, Java, SQL Databases, Databricks, Docker, Azure, and AWS, to develop scalable data engineering solutions and manage cloud data analytics tools.
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Experience with more than one type of biomedical data (e.g. neuroimaging, genomics, next generation sequencing (NGS), transcriptomics, electrophysiology, microscopy) Experience working with biomedical data repositories and/or biobanks (e.g. The Adolescent Brain and Cognitive Development Project (ABCD), OpenNeuro, UK Biobank, GTEX.
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Within OSSE, the Division of Data, Assessment, and Research is responsible for using data to measure and communicate student success. The Office of Research, Analysis, and Reporting (ORAR) team partners with divisions within OSSE as well as agencies across the District to promote the quality and transparency of education data in order to inform policy and practice.
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The primary responsibility of this position is to develop, implement, and support data analytics within an assigned area of Fulton Bank. This role will analyze, model, and synthesize data from various sources into meaningful information the business can use for better decisions, to maximize output or outcomes, impact strategic direction, and improve data literacy within the area of the business the role supports.
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Leverage AWS cloud services like S3, Kinesis, Redshift, EMR, Glue, Lambda, and others in combination with Data Lakehouse platform/Apache Spark Integration for advanced data processing and analytics.
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Broad experience desired, but not essential, in multiple domain areas, such as data warehousing, business intelligence (BI), data governance, data architecture, data integration, data classification, data strategy, data quality management, data security and privacy, MDM, data standards, regulatory compliance, and enterprise architecture frameworks.
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Expertise in two or more data estate workloads like Microsoft’s Data & AI Platform (Azure Synapse Analytics, Azure Databricks, CosmosDB, Azure SQL, HDInsight, etc.) As a Senior Sales Specialist - Data & AI, you will be a senior solution sales leader within our enterprise sales organization, working with our most important customers.
$237,500 a yearFull-timeExpandApply NowActive JobUpdated 24 days ago - UpvoteDownvoteShare Job
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Experience with modern data warehouse and data lake solutions such as Databricks or Snowflake is highly preferred. Proven experience with large-scale data warehouse/data lake solutions such as Databricks, Snowflake, or similar platforms.
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Experience or knowledge of QlikView, Qlik Sense, Azure Databricks, Azure Data Factory, Data Lake Analytics, SSRS, SSIS and Power BI is a plus. Experience with data visualization platform such as Microsoft Power BI, Tableau or DAX.
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Expertise in data mining, forecasting, simulation, and/or predictive modeling. Design, develop, and evaluate recurring and ad hoc reporting / dashboards in Power BI to drive and monitor the business and our products using best practices in data visualization and reporting tools.
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Data Processing platforms such as Databricks (or Snowflake) Presto, Hive, SparkSQL, Cassandra, or Solr, and other Big Data query and transformation experiences a plus. Expertise in Cloud Data Warehouses in Redshift, BigQuery, or analogous architectures is a plus.
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Implement data protection controls in Amazon Web Services (AWS) and Google Compute Platform (GCP). Manage a team of engineers in the deployment, integration, and configuration of Symantec DLP solution to protect sensitive data for high value assets and major infrastructure investments.
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Expertise in data strategy, data architecture, data engineering, advanced analytics, data science, data mining, and machine learning. Has experience managing on-shore and off-shore teams and knows how to optimize operating models to ensure data entry, data operations, and data thought leadership is being performed by the right talent base with scale and speed.
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Using tools such as Snowflake and/or Databricks, they will also work with cutting-edge DevOps technologies, develop advanced analytics products, and apply 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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data job Title: web developer Company: Dow in Bethesda, MD
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