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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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Experience working with Market Data applications such as Bloomberg, FactSet, MarkIt, iCap Refinitiv & Exchanges (NYSE, ICE, etc. A multi-strategy, multi-manager hedge fund in New York City is seeking to hire a Market Data Manager to work closely with Quant and Risk teams.
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Responsibilities:Lead the growth of Data and Analytics practice for Financial Services and InsuranceProvide technical expertise and guidance on the selection, and hands-on implementation, and optimization of big data platforms, tools, and technologies across multiple cloud environments (e.g., AWS, Azure, GCP, Snowflake, etc.
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As a Data Engineer on the team, you will contribute to the scalable Batch and Streaming ETL pipelines , DWH design and Data modeling, Data Governance initiatives tools and applications that make that data available to other teams and systems.
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Master’s in Computer Science/Applications, Information Technology/Systems or Electronics/Electrical Engineering + minimum 1 year experience as Big Data Engineer, Data Engineer, Data Engineering Specialist, Data Warehousing Analyst or related occupation.
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Ability to build AWS cloud/Snowflake data solutions and provide technical perspective and expertise on storage, platform services, cloud architecture and RDBMS/ODS database practices (Snowflake and Databricks.
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Strong knowledge in configuring Infor Data Fabric, Data Lake, Data Warehouse, Data Streaming, JDBC Connector, ETL tools, and other methodologies of data fetching. Experience in data migration and integration of Infor Ln with external applications using Infor tools such as Infor OS, APIs, RestAPIs, Web Services, Public Interface DLL, BODs, BEDs, Mongoose, Widgets, Ln Extension, MEC tools, and Infor Mobility tools.
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Provide support for data validation, business process testing and defect resolution during data migration and implementation. Participate in CRP, SIT, UAT, and data validation to ensure system integrity and accuracy.
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You have a strong knowledge and practical experiences with high density data types in a clinical setting (genomics, transcriptomics, proteomics, flow cytometry, TCR sequencing, immune assays, etc.
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Collaborate with IT, data governance teams, and business stakeholders to ensure alignment with the companys data strategy and global business requirements. Proven work experience as a Data Architect, Data Scientist, Data Analyst, or similar role.
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The individual will also partner with the role's line manager, the Global Communications Leader, Data Science and Precision Medicine, to profile the Innovative Medicine sector's efforts to advance progress toward precision medicine and leverage artificial intelligence (AI), machine learning (ML), real-world evidence (RWE) and digital health to drive our innovation and deepen our patient impact.
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Experience in implementing data quality management processes, data governance, cataloging, and master data management principles. Strong expertise in modernizing legacy data operations and development of data warehousing on Snowflake.
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2) Bioelectrical engineering in smart health and medicine using sensing, signal processing, and modeling in a data-driven paradigm; 3) Precision agriculture and remote sensing to develop systems and frameworks for the next generation of environmental applications.
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Azure Data Factory, Azure DataBricks, Data Lake Architecture, Azure DevOps, Python, SQL, solid understanding of Azure fundamentals and security best practices, Release management / CICD pipelines, Logic Apps, Azure Functions.
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NET, MS Access, Oracle, SQL Server, Sybase, PL/SQL, SQL, TSQL, SSIS, SSRS, Tableau, TOAD, ERWIN, Data Modeling, Data Quality, Data Governance, Data Visualization, Java, HTML, SAS, R, Python, and other statistical/financial analysis tools and Graphical/presentation design tools, and the Internet in a Windows and UNIX environment.
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data job Title: financial Company: Deloitte in Piscataway, NJ
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