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Help select, evaluate, evolve and integrate data platform technologies, including databases, data warehouses, data lakes, and big data processing tools. Strong understanding of data ingestion, processing and integration techniques (e.g., ETL, ELT) and data warehousing concepts.
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5+ years in designing, solutioning the Databricks, Snowflake, PySpark and Big data tools including DataOps, Data engineering, Data Integration, Data Orchestration and Data Marketplace.
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The Biologist will support the validation of Client therapeutic candidates by performing hands-on, bench-level assays involving both cell culture and tissue-based work, and as well as sample processing and analyses from in vivo animal studies.
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Assist THQ departments with processing credit card transactions via onlineEvalon/Converge Virtual Terminal Merchant system and the proper General Ledger recording of this activity,based on reconciliation of Elavon Merchant account batch report detail and the JP Morgan Chase daily activity report (IE: NY Staff Band, THQ Conference Center, Territorial OTHERS Program, Student Loans, Overseas ChildSponsorship Program.
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Conducting sample processing and analysis with molecular biology, biochemical and immuno-based assays: RT-qPCR, RNA sequencing, ELISAs, Western blot. Learning new methods and/or technologies relevant to various projects including, but not limited to, isolation, culture and maintenance of specific brain cell types, advanced data collection and data analysis (cell counting, unbiased stereology, quantifications in Halo, Image J, Prism.
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Experience with extraction of data and reporting within Clinical Data Management systems (e.g. Medidata RAVE, Medrio, Oracle Clinical). The role will interact cross-functionally with members of Clinical Affairs, Data Management, Medical Affairs, Regulatory Affairs and Global Assay Development to ensure high quality of data and analysis results used in regulatory submissions.
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Ensure operational excellence in collaboration with partners for application of standards, data acquisition, proactive data review and data integrity monitoring, data cleaning, e-data processing, data access and visualization, and database release.
$155,900 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Familiarity with data and knowledge management platforms such as LIMS, BPS (Bioprocess Solution), RDBMS (Oracle, SQL Server), SharePoint, Electronic Lab Notebook, and Atlassian Confluence preferred.
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Collaborate with IT teams to optimize data infrastructure, including data storage, processing, and access mechanisms across our Snowflake environments. As the hands-on Enterprise Data Warehouse Manager for Party City, you will hold a dual role, leading the EDW team while actively participating in the design and development of the enterprise data warehouse architecture for the entire Snowflake environment.
$125,000Full-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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Lead the planning and execution of data conversion activities, including data extraction, transformation, mapping, and loading, to migrate data from legacy systems such as SAP HCM, SAP SuccessFactors, etc., to the Workday ERP system.
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Designing, creating, testing and maintaining the complete data management & processing systems. Role: Data Engineer. Must have knowledge and working experience in Real-time processing Framework (Apache Spark), PySpark and in AWS Redshift.
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Retailers from a POS perspective into various BM Programs, including Outside Sales Rep (OSR), Contractor Commercial Pricing/Director of Sales Rebate (CCP/RSD), Electronic Data Interchange (EDI), Contractor Rewards (BIW) and others.
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Deep understanding of Business Intelligence, semantic layer (Looker), Data Warehouse (BigQuery), and broader data management practices. Background Check Required: Yes Drug Screening Required: Yes The Challenge: The Project Manager for the data transformation project at Veolia North America will serve as the key coordinator and driver for a major Business Intelligence (BI) transformation initiative.
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Architect and implement modern data lakehouse solutions, ensuring seamless data integration, storage, and processing. Nice-to-Have: Familiarity with other modern data processing tools and technologies.
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Directs the tactics, policies, and procedures for capturing and entering data, including gift processing, gift acknowledgment, and gift reporting. Five or more years of related and progressively more responsible or expansive work experience in advancement services/operations; annual fund and fundraising event management; financial management and analysis; personnel management; project management; data analytics and database management; alumni relations; and advancement communications or an equivalent set of experience and education.
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data processing jobs Title: data engineer sr in Orangetown, NY
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