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Must have 2 years of experience reviewing requirements; developing and working with data models, data warehouses, data pipelines, scripts, files, queries; performing unit testing; using ETL, Agile, Rest API, PL/SQL, RDS, Jira, Oracle, SQL Server, AWS. Must be willing to travel/relocate to unanticipated locations throughout the US on short notice for extended periods of time.
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Demonstrated domain experience with financial datasets including FactSet, Bloomberg, IBES, CompStat, S&P Global, Worldscope, Morningstar, MSCI, Reuters, IDC, Markit, BARRA, Axioma, Northfield, and PORT A proven track record of working with complex data environments and associated technology and analytics infrastructure needed to support these environments.
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Familiarity with data platforms and applications such as Databricks, Jupyter, Snowflake, Redshift, Airflow. Fluent in data exploration and visualization tools such as Looker and Tableau. Our team masters exploratory data analysis, advanced reporting, data modeling and visualizations that serve the dual purpose of driving business decision making and delivering fact-based actionable recommendations.
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Broad technical skills including data modeling, SQL, databases, ETL/ELT, scripting, and commercial cloud service offerings (e.g. Azure, AWS, Databricks, Snowflake) The relevant infrastructure will include elements such as an enterprise data catalog, data governance (including conventions and standards), data quality, master data management, application integration, data exchange, ETL/ELT, data modeling, and related components.
$223,800 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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What you will be responsible forDevelop/ Build and enhance data pipelines using Python, Spark based data engineering solutions (Databricks), and SQL (AWS Redshift). Hands on development in Python, PL/SQL, SQL, Shell Scripting, AutoSys. Hands on experience working in cloud data platforms such as AWS Redshift, Spark based data engineering solutions.
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Salary: Data Entry Work from Home - Part Time Computer Job Based on experience, this position pays up to $34.00 per hour. Job Description Part Time Data Entry Computer Job - Work from Home Work from Home Administration - Computer Online Data Entry & Short Studies/Feedback - Part Time & Full Time Work - No Experience Needed, Training Provided We specialize in market research and are looking for help in some of our work at home computer positions.
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Risk Management: Identify potential risks and proactively implement mitigation strategies to ensure system stability and data security. Project Management: Oversee the full software development lifecycle, from requirement gathering to deployment, ensuring timely delivery of high-quality solutions.
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Center 1 (19052), United States of America, McLean, VirginiaCurrent Master's - Data Science Internship - Summer 2025Key Role DetailsThis is a full-time paid internship program spanning ten weeks from June through August 2025.
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Knowledge of Statistics, Gen AI, LLM, Sagemaker, Python, Computer Vision, data visualization tools. We want Data Science/Machine learning/Data Analyst and Java Full stack candidates.
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Skilled in managing large-scale data storage and analysis using technologies like Spark, Presto, Hive, and Hadoop, and proficient in building advanced data pipelines. As a Data Scientist at Global Partners, you will play a crucial role in owning development of Data Science and Machine Learning models from our vast data sources and contributing to data-driven decision-making.
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Data Architecture LeadBoston, MA Months (Hybrid: - days in office) Role Overview –Data Architecture lead/Agile Program Manager (RTE) – Global Investments (Boston) Position Overview :We are seeking a highly skilled and motivated Data Architect Lead for our Global Investments strategic program to join our project team.
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Data: Good understanding of data & data processing tools (e.g. Spark, Kafka, SQL), of relational database technologies and of analytics databases (e.g. Redshift, Vertica, Snowflake.
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Collaborate with cross functional agile teams of software engineers, data engineers, ML engineers, Product Managers and others in building new product featuresManage and execute entire data projects from start to finish including cross-functional project management, data gathering and manipulation, analysis and modeling, and communication of insights and recommendations.
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10+ years of relevant project experience in successfully launching, planning, executing data science projects. Basic to substantial experience in one or more of the following commercial/open-source data discovery/analysis platforms: RStudio, Spark, KNIME, RapidMiner, Alteryx, Dataiku, H2O, SAS Enterprise Miner (SAS EM) and/or SAS Visual Data Mining and Machine Learning, Microsoft AzureML, IBM Watson Studio or SPSS Modeler, Amazon SageMaker, Google Cloud ML, SAP Predictive Analytics.
$248,400 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Provide comprehensive data management expertise to project/study teams to optimize study-specific clinical trial processes. Ensure data management deliverables meet/exceed project/study team expectations regarding quality, time and cost, plus data management documentation is filed/archived according to applicable company and regulatory requirements.
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Title: data project Company: Crowdstrike in Waltham, MA
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