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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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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.
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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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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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The VP, Engineering will l ead scaling the global data and software engineering team s in managing the foundational enterprise data platform and creat ing tools and frameworks that enhance data collection and processing, analytics and artificial intelligence , data dissemination , and governance.
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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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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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Multiple contract engineer positions open at statewide project locations; contract with good prospect for extensions. Resident Engineers maintain accurate project records, ensure that contractor as-builts are up-to-date, assist with the oversight of MEP and Enclosure Commissioning, utility incentives, punch list, project close-out and delivery/turn-over from construction to user agency operations.
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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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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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Proficient in delivering datasets from onboarding through mapping and automated data quality processes, facilitating handover to the Data Operations team for ongoing maintenance and utilization by research teams and in production.
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The person will also serve as dedicated System (Adaptive Insights) maintenance, upgrade and scaling support while also supporting Opex and Corporate financial consolidations in the data analyst capacity.
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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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Title: data project Company: Crowdstrike in Woburn, MA
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