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You will have an opportunity to work in roles such as Cloud Data Engineer, Data Modeler or Data Architect covering all aspects of Data including Data Management, Data Governance and Data Migration.
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The firm is the No. 1 investment bank for global M&A transactions under $1 billion, the No. 1 M&A advisor for the past eight consecutive years in the U.S., the No. 1 global restructuring advisor for the past nine consecutive years, and the No. 1 global M&A fairness opinion advisor over the past 25 years, all based on number of transactions and according to data provided by Refinitiv.
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Expert level skill in Dashboard UI design and data modeling using Qlik Sense & Tableau. Expert level skill in integrating data using Qlik Sense & Tableau. Proficient with Qlik ETL scripts to load and build the data model and associated QVDs.
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Net, Azure Cloud certifications such as Azure Data Platform, Databricks, Azure DevOps) are a plus. The Senior Database Engineer role is to design, govern and sustain the collective database environment of LRE and its associated Data Warehouse and Lake. Assisting with the evaluation and selection of all relevant infrastructure components, such as software, hardware, big data components, and networking capabilities; as well as the installation, monitoring, maintenance and/or performance tuning of our production databases, while ensuring high levels of data availability.
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Experience as an OneStream Developer with hands on configuration of the solution for specific business functions including cubes, metadata, data sources, transformation rules, formulas, forms, cube views, quick views, and workflows.
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Environmental testing includes mechanical shock, electrodynamic vibration, salt fog, climatic environments such as temperature, altitude, and humidity, high temperature quartz lamp testing, structural testing, test fixture design, and custom instrumentation installations and data acquisition support.
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Previous experience and knowledge of Data Protection technologies such as BigID, Collibra, Microsoft Purview, Netskope, ZScaler, Symantec/Broadcom, Forcepoint, McAfeeMust have hands-on experience in docker containers, Kubernetes, and Azure Kubernetes services administration.
$237,400 a yearFull-timeExpandApply NowActive JobUpdated 20 days ago - UpvoteDownvoteShare Job
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Accounting expertise in MS Excel including macro / VBA writing capabilities, data queries, and pivot tables. An understanding of national energy power market tariffs (WECC, PJM, ERCOT, SPP, MISO, NYISO, ISO-NE, and CAISO) and incentives is beneficial but NOT required.
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Proficiency in Databricks, Azure services (e.g., Azure Data Lake Storage, Azure Synapse Analytics), and Spark for big data processing and analytics. We are seeking a skilled and experienced Data Engineer with expertise in Databricks, Azure, and Spark to join our dynamic team.
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5+ years of Data Integration experience (Azure Data Factory, Databricks, Azure Synapse Analytics, SQL Server Integration Services, Informatica, Microsoft Fabric etc.) Databricks Certified Data Engineer Associate or Professional.
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Google Cloud Platform, ideally with Google Big Query, Cloud Composer and Cloud Data Fusion, Cloud spanner, Cloud SQL. You will directly work on the platform based on Google BigQuery and other GCP services to integrate new data sources and model the data up to the serving layer.
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Understanding Data Protection capabilities (Database Activity Monitoring (IBM, Imperva), Data Access Governance (SailPoint, Stealthbits, Varonis), Data Classification (BigID, Boldon James, Microsoft Info Protection, TITUS), Data Loss Prevention (Forcepoint, McAfee, Symantec), Info Rights Mgmt (Microsoft Info Protection, Seclore, Vera.
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GCP Data Engineering (BigQuery, Dataflow, etc) Must have good implementation experience on various GCP’s Data Storage and Processing services such as BigQuery, Dataflow, Bigtable, Dataform, Data fusion, cloud spanner, Cloud SQL.
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Must need : Databricks Certified Data Scientist or Databricks Experience. Knowledge of Python programming, data processing, data collection, quantitative and qualitative data analysis and good knowledge of data modeling like Linear Regression, Logistic Regression, Decision Tree, Random Forest, XG BOOST, CAT BOOST, Ada BOOST, SVM, Clustering etc.
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Minimum of 5 years of experience in IT compliance, Data Governance, risk management, and technical security, with a strong focus on PCI DSS. Lead PCI DSS (Payment Card Industry Data Security Standard) compliance efforts, including annual assessments, audits, and reporting.
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data job Title: analyst Company: Citrix Systems in Dallas, TX
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