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An HR Data Analyst may work on various projects related to talent acquisition, performance management, employee engagement, diversity and inclusion, compensation and benefits, learning and development, and more.
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Your expertise in ETL, DataBricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupiter Notebooks will be essential in ensuring efficient data processing and analysis. Job Responsibilities:- 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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Involvement in PL/SQL programming including Stored Procedures, Constraints, Joins, Keys, Indexes, Data Import/Export, Triggers, Cursors and SQL Loader. Expertise in Oracle EBS RICEFW development and advanced technical skills in Oracle Database, SQL, PL/SQL, Unix/Linux, JDeveloper, OAF Customizations, etc.
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Familiarity with software products associated with cyber system engineering for data analytics, including SQL security, TANIUM Endpoint Management Software, PowerShell, McAfee, App Blocker, and Splunk ITSI.
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Current PhD - Data Science Internship - Summer 2025. If you're interested in a long-term career at Capital One, the Data Science internship could be a great way to begin your career journey.
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Significant experience & technical knowledge related to Oracle EBS functional modules and process flows (Procure to Pay (P2P), Record-to-Report (RTR), Order to Cash (OTC) and others). IMPACT YOU WILL HAVEThe Oracle EBS Apps Developer supports the company's financial systems.
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This includes developing and executing PL/SQL scripts, recommending and performing updates to the configuration and design of multiple databases associated with the Oracle EPM solution (DRM, Hyperion’s Oracle implementation, and OBIEE), performing maintenance, and patching of Oracle databases, and providing monitoring support to ensure that the production, test, and development environments are fully available.
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Experience using data and analytic tools such as: PowerBI, Databricks, SQL, Python, R, or Tableau. Support the development, maintenance, and management of reporting, dashboards, data models and analytical results.
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Knowledge of system and application security threats and vulnerabilities (e.g., buffer overflow, mobile code, cross-site scripting, Procedural Language/Structured Query Language [PL/SQL] and injections, race conditions, covert channel, replay, return-oriented attacks, malicious code.
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Data center storage fundamentals (experience with SAN protocols and NAS protocolsExperience virtualizing enterprise applications (Active Directory, MS SQL, RHEL, MS SharePoint, Unified Communications, etc.
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Experience related to quality assurance and quality improvement processes, program/policy development and management, or data management. Two or more years of professional work experience related to quality assurance and quality improvement processes, program/policy development and management, or data management.
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Proficient understanding of relational (e.g. Oracle, SQL Server, PostgreSQL) and Big Data distributed structures (Hadoop/Spark) in order to source data effectively. The Data Scientist must also be able to communicate complex quantitative analyses in a clear, precise, and actionable manner to management and executive level audiences.
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Expertise in common Geospatial software applications and tools, such as visual programming (JEMA, FADE/MIST, ECO/ETAS), Python, SQL, Git, GIMS, AWS Sagemaker, AWS Cloud, ESRI ArcGIS, statistics (descriptive, Bayesian), Markov-Chain modelling, TensorFlow, Linear Algebra, R, SAS, NLP.
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Your expertise in Python, Java, and SQL along with experience working with data integration tools and frameworks like Apache Kafka, Apache NiFi, or ETL tools will be essential in ensuring efficient data processing and analysis.
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Proven experience as a Database Administrator, with a focus on database management and performance optimization. Proficiency with Microsoft SQL Server and experience with other database systems such as (but not limited to) Oracle, MySQL, PostgreSQL, or MongoDB.Microsoft SQL Server certifications (e.g., MCSA, MCSE) are a plus.
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management data pl sql jobs Title: administrator in Vienna, VA
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