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Experience of implementing Amazon EMR or Big Data technologies like Hadoop, Spark, Presto, Hive will be a plus Prior domain experience of Life Insurance, Annuity or Financial Services is a plus AWS Certifications are considered a strong plus Excellent verbal and written communication skills.
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If the candidate does not have a background in Actuarial science, the candidate should have 4+ years of industry experience building and analyzing machine learning models and should hold a graduate degree in a technical field such as Statistics, Computer Science, Data Science, Bioinformatics, Physics, Mathematics, Economics or Engineering.
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FM Global is seeking a Machine Learning Operations Data Engineer II to join our AI/ML team to support Machine Learning Engineering, working very closely with Data Science, Data Engineering, Subject Matter Experts and Solution Architecture teams.
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Analyze and design data models, data ingestion algorithms and performing data mining to identify patterns for fraud investigation, surveillance, and compliance on structured data sources, including Oracle and Big data solutions.
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Exposure to cloud platforms and big data systems such as Hadoop HDFS, Hive is a plus. Experience leveraging complex data to drive business decisions, hands on experience in data science methodologies (predictive analytics, machine learning, patient level data triggers) using R, Pytong, Databricks and deep knowledge of Qlik, PowerBI, Tableau for visualization.
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6+ years Python and related big-data engineering technologies such as Spark, Hadoop, Kafka, etc. The Lead Master and Reference Data Engineer will be a member of a dynamic team responsible for leading data engineering efforts to create a proprietary Master and Reference Data system.
$160,500 a yearFull-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Advanced degree in Engineering, Physics, Materials Science, or a related STEM degree. Experience working with computational design and analysis tools such as Fluent, Abaqus, Ansys, COMSOL multi-physics and Matlab/Python.
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2 years of experience with Data Pipeline development or ETL tools such as Palantir Foundry, Azure Data Factory, SSIS, or Python. Proficiency in Python, Pandas, Databricks, JavaScript, or other scripting languages for data processing and automation.
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Expanding, scaling, and standardizing the core foundational principles through consistent observability, lineage, data quality, logging, and alerting across all engineering teams in the Data organization is imperative to the creation of a single pane of glass.
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Architect, design, and code shared libraries in Scala and Python that abstract complex business logic to allow consistent functionality across the Data organization. The Data Capture team for the Data organization within the DE&ET organization is in search of a Lead Software Engineer.
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As a member of the Data Capture team you will establish the foundational set of core platform frameworks and pipelines which are a vital key to success enabling dozens of engineering and analytical teams to unlock the power of data to drive key business decisions and provide engineering, analytics, and operational teams the critical information necessary to scale the largest streaming service.
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Ensure high operational efficiency and quality of the Data Capture platform datasets to ensure our solutions meet SLAs and project reliability and accuracy to all our stakeholders (Engineering, Data Science, Operations, and Analytics teams.
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Agile Development, including Scrum and Kanban Methods, Communication, Complex Problem Solving, Data/BI/Analytics Tools (e.g., SQL, Tableau, Qlik, Business Objects, Python, R, etc.
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Work Experience: 3+ years of experience in Audit or IT Audit using data analytics (Alteryx, Python, R, SQL). Software/ Programming Languages: Python, R, SQL, VBA. A global investment bank that is building out their business in the US is looking for an Associate of IT Audit, Data Analytics.
$156,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Hands on development experience with: Python, Spark, SQL, Cloud-based ETL tools, Azure Data Factory/Databricks and Snowflake. Keywords : Python, Spark, SQL, ETL, Azure Data Factory/Databricks, Snowflake.
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big data science a plus r python jobs Company: American Express
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