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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.
Full-timeExpandApply NowActive JobUpdated 20 days ago - UpvoteDownvoteShare Job
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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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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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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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Leading the design, build, migration, and testing of OneStream for multi-dimensional data models (dimensions, hierarchies, attributes); input template and report build; Data Integration and Extract Transform and Load (ETL) concepts; understanding of calcs (allocation, top-down spreading, currencies); and, workflow, data permissions and security.
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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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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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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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U.S. Data Security ("USDS") is a subsidiary of TikTok in the U.S. This new, security-first division was created to bring heightened focus and governance to our data protection policies and content assurance protocols to keep U.S. users safe.
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Oversee the implementation of data processing workflows, analytics, and machine learning models using Databricks. This role requires a deep understanding of big data technologies, particularly Apache Spark, as well as expertise in data engineering and analytics.
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Merkle's expertise has earned recognition as a "Leader" by top industry analyst firms, in categories such as digital transformation and commerce, experience design, engineering and technology integration, digital marketing, data science, CRM and loyalty, and customer data management.
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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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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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Lead the design, configuration, deployment, monitoring, and troubleshooting of data center hardware and software including Nutanix Hypervisor, VMWare, Windows servers, patching, and Veritas NetBackup systems.
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data job Company: Splunk in Washington, DC
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