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Job Description: We're seeking a proactive and highly skilled Data Analyst with a background in Computer Science, Data Engineering, or a related field, coupled with expertise in Google Cloud Platform (GCP) and Amazon Web Services (AWS.
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Deliver datasets from onboarding through mapping and automated DQ so they can be handed off to the Data Operations team for DQ maintenance and consumed by research teams and production. The Asset Management Quant Research Engineering team is looking for a Director of Data Engineering who wishes to take on the challenge of building a world-class data operation.
$103,000 - $218,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Additional experience with Pyspark, AWS S3, Lambda, EC2/AZ, Data bricks, Machine learning (ML), GenAI/ Computer Vision, Theory of Probability, GitLab, R Programming, GCP & Airflow will be preferred.
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We are seeking a highly motivated and capable Data Scientist to support Tempus NEXT, an AI-enabled care pathway intelligence platform that applies technology, data, and AI to enable precision medicine, empowering providers to tailor the next step in a patient’s care journey and foster value based care within health systems.
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The target system is a data warehouse and data lake application used for various financial reporting and persisting various functional data which includes in-depth Technical analysis, use case analysis and JAD sessions with peer developers and Business analysts under Oracle and Databricks delta lake platform within Securities lending business domains.
$110,000 - $185,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Background in a relevant scientific area, such as drug discovery, therapeutic development, computational chemistry, computer vision, statistics, artificial intelligence, modeling, simulations computational genomics or biology, statistical genetics, data science, chemistry, or biology.
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Preparing and modeling data in SQL, Tableau, and/or Qlik; Utilizing Data analytics skills and experience developing mathematical models in R, Python, SAS, MATLAB, and/or SPSS; Data center construction and engineering.
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Harness the power of Databricks Delta Lake and Parquet files for data warehousing, query optimization, and data versioning. Expertise in using Databricks platform on AWS for data processing and analytics.
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Reconciliation and Data IntegrityReview reconciliation between Northern Trust and custodians; act as escalation point for Northern Trust with any issues and maintain aging reportMaintain data integrity and security master requirements and interfaces between various internal systemsResponsible for start of day process by ensuring trading platform is ready and data exceptions are resolved.
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Deloitte Risk and Financial Advisory's Financial Services Industry (FSI) Risk, Data and Regulatory professionals help organizations identify the regulatory changes impacting their business and implement effective and efficient processes to manage regulatory, capital, liquidity and interest rate risks, respond to evolving regulatory environments and implement programs, measures, and tools to help clients with a specific focus on risk, data, and regulatory processes.
$113,325 - $207,763 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Career HR Practitioner or HCM Implementation Consultant with proven, hands-on experience (5+ years) within HRIS/HRIM with Workday HCM servicing as the centralized data platform. Deep understanding of Workday HCM, Workday Report Writer, Workday data architecture, and integration principles.
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Strong knowledge of and experience with data governance as a practice, including enterprise data management, data lifecycle management, data anonymization & masking, data quality, data lineage, data privacy, data security, meta data management, data analytics and reporting, and artificial intelligence (AI.
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Reporting to the HR Technology and Data Director, this role involves analyzing/maintaining Workday HCM data and ensuring accurate data integration for seamless reporting and system functionality.
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NGS Data Analysis: Lead and contribute to the design and execution of bioinformatics pipelines for the analysis of NGS data, with a specific emphasis on RNseq datasets. Provide insights into potential therapeutic targets based on genomics and transcriptomics data, contributing to the overall drug development strategy.
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Solid understanding of data engineering concepts, including data modeling, data processing pipelines, and big data technologies (e.g., Hadoop, Spark, Kafka). Experience working with relational and NoSQL databases, as well as cloud-based data storage solutions (e.g., AWS S3, Google Cloud Storage, Azure Blob Storage.
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data job Title: assistant prof in Boston, MA
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