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Data governance: Defining governance policies and procedures to ensure data quality, security, and compliance throughout the organization, including metadata management, data privacy, and regulatory compliance.
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Your responsibilities will include: - Developing data visualization solutions using tools like Tableau, Power BI, and/or Qlik - Cleaning and reviewing data scripts using Python and other tools - Creating additional data visualization capabilities as needed - Ensuring data quality standards are met - Developing training materials - Analyzing current processes and suggesting improvements - Organizing and leading client meetings - Summarizing and presenting information and reports to the team.
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Specifically this role will lead and contribute towards building aspects of centralized event driven data streaming platform and services focused on LSE(Large Scale Events) prevention and mitigation, data center operations, and hardware quality management for Oracle Cloud Infrastructure (OCI.
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Advanced experience in cloud data processing products, including but not limited to Airflow, Snowflake, etc. Advanced experience in writing codes in Java/Python, either on general programming ability or data processing ability with several data formats (CSV/TSV/JSON/XML.
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Experience working with cloud-based data platforms, such as Databricks (preferred), BigQuery, Redshift, etc. In this role, you will design and implement the key payment data models for various analytics, ML/AI solutions, and data-centric product features, which includes building batch/stream ETL pipelines for payment golden datasets, creating unified data monitoring and alerting system for operation excellence, and setting up the standard for payment data governance.
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Support Daiichi Sankyo internal business departments, data steward, and sourcing partners with the following activities: capacity planning, problem management, impact of application issues and overall application (s) stability and associated delays (incident management), operational support for data exchange, integration and data loads, communication on issues and resolutions to DSI.
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We are seeking a Vice President, Data Science to join the Fidelity Digital Asset Management business and report directly to the Head of Digital Asset Operational Capabilities. The Data Science team is a highly collaborative group leading technical projects across the FDAM organization to enable effective management of investment products and services.
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Familiarity with Databricks for data engineering tasks including ETL processes, data visualization, and machine learning. The ideal candidate will have a solid understanding of Java and Python programming languages, along with experience working with Databricks for data engineering tasks.
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Experience: Demonstrate a strong foundation in data analytics, engineering, and project management with a minimum of 12 years of hands-on experience in the implementation, development, improvement, and support of data-related projects.
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We integrate off-the-shelf and new development efforts to sustain and enhance Defense Intelligence Agency’s (DIA) National Media and Exploitation Center (NMEC) architecture by leveraging cloud-based computing, artificial intelligence (Al), machine learning (ML) and cross-domain transfer systems to provide cutting edge data exploitation, enrichment, triage, and analytics capabilities to Defense and Intelligence Community members.
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Optimizes data warehouse performance and cost management. Builds and manages data warehouses using technologies like Amazon Redshift, Google BigQuery, or Snowflake. including data processing using Apache Spark, Delta Lake, Unity Catalog, and MLflow.
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Knowledge of Azure Synapse/Snowflake, Azure Data Lake Storage, Databricks, and enterprise data management platforms. TBI ID Number: 23-12055, Business Intelligence Engineer/BI Engineer/ETL Developer/BI Developer/Data Engineer.
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With over 20 billion rows of license plate and geospatial data, Digital Recognition Network ( a subsidiary of Motorola Solutions, is a fast-growing License Plate Recognition (LPR) data company that is looking for a talented software engineer to help build and maintain web applications that showcase our data and provide value for our commercial customers.
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Our Cybersecurity and Technology Risk Advisory services include Cyber strategy, IT governance, IT risk and cybersecurity assessment, cloud security, privacy and data protection, systems pre- and post-implementation controls evaluation and advisory, systems development life cycle controls assessment, data governance & analytics, resilience, and third-party risk management.
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Your expertise in ETL, Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks will be essential in ensuring efficient data processing and analysis. Design, develop, and implement end-to-end data pipelines, utilizing ETL processes and technologies such as Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks.
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data job Title: management trainee Company: Oracle
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