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Functionally competent on multiple software systems including sales systems, data architecture, data processing, data analytics, SQL Management Studio Tableau, PowerBI, Analysis for Office, PowerPivot, Snowflake, SAP Hana, and Alteryx.
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Ability to program in statistical/mathematical programs such as SAS, R, Python, or other data analytics (e.g. SQL) or quantitative libraries. Business Support - Work with business and CCAR stakeholders regarding current and/or proposed PPNR models working with businesses, risk, and finance teams to submit and validate data and analyze the consolidated results production of the final regulatory 14A submission and data quality assurance of the submission and partnering with other CCAR teams such as documentation, process or review and challenge to provide and analyze results.
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The ideal candidate should have extensive experience with Snowflake, Core SQL Skills, Cloud ETL processes, Python, GitHub, Control-M / Redwood orchestration and a strong understanding of ITAR compliance requirements.
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Experience in multiple database platforms is preferred: SQL Server, Oracle, Exadata, Big data. Requires proven track record in strong database skills working on Oracle/SQL Server/Exadata, performance tuning, ETL processes, Windows and Linux environments.
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Advanced proficiency in data analysis tools and programming languages such asPython,R (optional), and SQL and/or Apache Spark for data analysis and machinelearning applications. In-depthknowledge of Google Cloud Platform (GCP) services, especially BigQuery,Dataflow, and AI Platform for data processing and machine learning projects.
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5+ years of experience designing, building, and supporting real-time and batch data pipeline and analytical solutions with Hadoop (Hive, Kafka, Spark, Spark Streaming, HBase) and Teradata, ETL tools like Informatica, Talend, Data Fusion, Python/Java, Oracle/Exadata.
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Work with IT and others to implement and automate hedging processes using Python, SQL, git and other tools. Strong programming skills in Python and SQL. Experience in other languages is a plus.
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Ensure the adherence to best practices for web analytics implementation, data governance, and data privacy regulations within Adobe Analytics. Strong understanding of web analytics, data visualization, and the ability to derive actionable insights from Adobe Analytics data.
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Experience working with SQL DBMS systems (eg., SQL Server, Oracle, Redshift, Teradata)Experience in the data warehouse spaceSecurity, Stability, Reliability, Scalability, Fault Tolerance, Performance, Monitoring Compensation USA Compensation Range: $80,000 - $82,000 Additionally, the following benefits are provided by Red Ventures, subject to eligibility requirements.
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4+ years of experience with SAS, Teradata, PySpark, SQL, and Machine Learning (ML) and Natural Language Processing (NLP) & Large Language Model (LLM) experience. Strategically collaborate and consult with peers, colleagues, and mid-level to senior managers to drive recommendations and strategies based on data driven, analytical insights, trends, and patterns that will resolve issues and achieve goals; may lead projects, teams or serve as a peer mentor.
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Develop and monitor YMCA Computer Disaster Preparedness Plan. Fully support and maintain Microsoft Exchange, O365, SharePoint, IIS, Remote Desktop Services Farm, Azure Virtual Desktop, Microsoft Intune, Entra ID, SQL, and EMC Storage environments.
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Hands-on experience with On-prem & cloud data platforms such as Snowflake, AWS Redshift, Azure Synapse Analytics, Databricks, AWS Aurora, Oracle Exadata, SQL server, Hadoop, Spark, SAS and R.
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Design, develop, and maintain scalable and efficient data pipelines for extracting, transforming, and loading (ETL) data from various sources into our data warehouse leveraging AWS, Databricks, Python and SQL technologies.
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Experience with SQL, Python and Looker. The Risk Data Scientist will use analytical skills to identify and prevent fraud & credit risks. You will own the key metrics, develop data pipelines, ETL. You will also make a direct impact on Square's priorities and Banking initiatives (primarily SQ’s debit card) by building risk detection strategies, developing & tracking key success metrics, influencing partners through data and enabling growth of the business.
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Familiarity with one or more of Splunk, Crowdstrike, Qualys, Nessus/Tenable, MS SQL, Oracle DBMS is a plus. Familiarity with data integration systems and concepts is a plus. Familiarity with one or more of Splunk, Crowdstrike, Qualys, Nessus/Tenable, MS SQL, Oracle DBMS is a plus.
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data python sql jobs Company: Deloitte in Charlotte, NC
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