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Critical aspect of the role includes defining an agile quality and compliance strategy that supports Digital Data unit in their effort to establish a standardized, resilient, and sustainable data pipeline - including data sources, data quality, data governance, data management and master data management.
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Responsible for day-to-day Onshore - Offshore service delivery operations for Big Data, Cloud, Middleware Integration, SNOWFLAKE, Databricks applicationsWork effectively with individuals on offshore and onsite locations while providing quality leadership.
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In-depth knowledge of big data technologies such as Hadoop, Spark, Kafka, and cloud platforms such as AWS, Azure, GCP, Snowflake, Databricks, etc. Preferred Qualifications:Professional certifications in cloud computing (e.g., AWS Certified Solutions Architect, Microsoft Certified Azure Solutions Architect, Azure Data Engineer, SnowPro Core) and/or big data technologies.
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Manage supplier selection and contract negotiations for key energy and conservation initiatives, in coordination with Procurement and the Services Strategy and Governance team. Manage data collection and analytics to measure performance against energy, water efficiency, and clean energy goals in coordination with the FM Performance Management Specialist.
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Strong business andor technical background in the areas of Master Data Management Data Quality Data Governance Data Integration ETL SoA and Data Security.
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They will work within an Agile environment to develop and support FileNet platforms across the Computershare portfolio as well as support complex technology initiatives including those that are with companywide impact.
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Technology Ecosystem: Front-End: Power BI and SSASBack End: SQL Server and SSISArchitect: DataWarehouse and LakehouseCloud: Databricks with Azure Responsibilities Participate in ad hoc request where SQL queries needs to be written to pull data and ensure data is accurate.
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Gather application's business requirements and specifications for developing architecture pattern, formulating test plan & strategies, test analysis, test design, test cases, development & maintenance of database using Azure DevOps, IBM Rational and Collibra Data Governance center, SharePoint, Data Modeling, & Oracle SQL Developer.
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QTS Data Centers is a Blackstone REIT Portfolio companyQTS Data Centers is seeking a DCIM Engineer II / Controls Engineer II (Senior Data Center Infrastructure Management (DCIM) Engineer) to be based at one of our brand new mega data center campuses in the US. Quality Technology Services (QTS) is a leading provider of data center solutions across a diverse footprint spanning more than 9 million square feet of QTS Mega Data Centers throughout North America and Europe.
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Review/approve creation/modifications to Master Stability Protocols (MSP) and Study-Specific Protocols (SSP), batch-specific enrollment documentation, and LIMS stability studies. Significant experience with evaluating and interpreting stability data using statistical software.
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Job Title Master Tool Maker Days of week Monday - Friday Hours 7:00 am to 3:30 pm Location Piscataway, NJ Hourly Payrate $26/h - $30/h Type of role Temporary 3 to 6 months Safety shoes yes mask no Vaccination no other requirement Heavy Lifting other requirement none other requirement none.
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Our team includes alumni from Goldman Sachs Digital Assets, DeFi protocols (e.g. Maker, Badger, Balancer), big tech (e.g. SpaceX, Microsoft, Salesforce), and traditional finance (Fortress, Bridgewater, Prospect.
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Strong technical knowledge in one or more of the following: network and application security testing, IT security governance and risk, digital forensics and incident response, security architecture, deployment of security appliances such as DLP, SIEM, IDS/IPS, etc.
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Strong background in data engineering, data systems, and data governance and demonstrated ability to work with both structured and unstructured data. Define data requirements, gather and mine large scale of structured and unstructured data, and validate data by running various data tools in the Big Data Environment to enable use case development.
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We specialize in custom data solution development, cloud computing, business intelligence, big data, data science and data analytics. · Prior intern/research lab experience using one of the Machine Learning Engineering / Data Engineering tools – Databricks, Snowflake, Airflow · Extensive Visualization Experience –Tableau/PowerBI work portfolio · Prior intern/research lab experience with ChatBot AI – NLP, Deep Learning, LLM.
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big data governance master agile scrum jobs Title: analyst in Piscataway, NJ
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