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Extensive experience with big data platforms (e.g. Apache Hadoop, Apache Spark, Hive, etc.) Dig in by extracting data and performing segmentation and statistical analyses on large population datasets (using languages such as SQL, R, and Python on Linux and Big data platforms.
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Highly proficient in data management solutions (Oracle, SQL, Snowflake, SAS) and MS Excel with significant experience in manipulating large data sets. Must be able to analyze large amounts of data quickly to draw conclusions using quantitative data and qualitative experience.
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Candidate will be well-versed in various manufacturing processes, including machining, stamping, and injection molding, as well as data analytics and process improvement techniques such as Lean and Six Sigma.
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Data Modeling: Develop and maintain data models (e.g., star, snowflake schema) that align with business reporting and analytics needs. o Experience with ETL/ELT tools (e.g., Matillion, Talend, DBT) and data pipeline automation.
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Data Operations Business owner of centralized, consolidated master data management systems and data repositories (e.g., Regulatory System of Records, Security Master) Identify and champion of process improvements to ensure efficiencies and effectiveness of services to internal consumers Understand end-to-end data flow, production and usage across the firm for the data sets in scope of control.
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Maintain enterprise Environmental, Health & Safety data management systems. Maintain the EHS site on SharePoint and Microsoft Teams and other data management systems. Analyze EHS and Sustainability data to offer insights and suggestions for system and process improvements and attainment of EHS performance targets.
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Key ResponsibilitiesWork individually or as part of a team to execute model validation activities and testing against BSA/AML and OFAC models, including assessing risks related to model design, data, output, and governance.
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Operational – developing, implementing, monitoring, and assessing fundraising and gift processing policies and ensuring all development strategies incorporate and maximize the use of CRM data. Leadership – an ability to lead and thrive in all major fundraising functions including major gifts/principal giving, foundations and government grants, data management, budget administration, marketing, and communications.
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Make strategic decisions using data based on a deep understanding of Pangea's funnel and attribution across online and offline channels. We live our values by listening to our customers, challenging assumptions, thinking big, setting high expectations, and hiring and developing the best.
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Development of a solution to reduce the time to execute a reporting or to search for data in an ad hoc request- Usage of Python, SQL, VBA or DAX. Joining MMG will provide an opportunity to acquire and develop strong technical knowledge of products traded by the fixed income,equity derivatives and prime brokerage teams as well as allowing you to develop your expertise on PnL analysis, income attribution and risk metrics including PFE and Stress Test.
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Responsibilities: Conducting all trial visits Completing all study-specific assessments (e.g. vital signs, EKG, blood collection) Processing all samples and shipping to Central Lab Maintaining study source Entering data into sponsor EDC and query resolution as the sole Senior Clinical Research Coordinator (SCRC) on-site, the chosen candidate must be adept at protocol comprehension and be capable of working autonomously.
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Hands on experience in designing and building data pipelines in AWS cloud using S3, Lambda, API Gateway, RDS, Redshift, etc. Experience in data pipeline development using ETL tool, Informatica IICS.
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System resiliency, redundancy, data backup, recovery, business continuity, & disaster recovery concepts. Assets (applications/data/devices/networks/users) & related cybersecurity concepts (monitoring/hardening.
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You will report to Senior Vice President, Data Engineering. As a Data Engineer, the right candidate will be somebody who is motivated, loves to continually learn and builds software utilizing modern technologies and strong engineering practices.
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DBRS Morningstar has earned a reputation for innovation and excellence in the structured finance market and aims to increase market transparency by providing the highest-quality ratings, securities research, monitoring services, operational risk assessments, data, and technology solutions.
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big data jobs Title: data manager Company: Citi in Chicago, IL
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