A company is looking for a Software Engineer II to join their Business Intelligence Engineering team.Key ResponsibilitiesDefine BI and analytics requirements in collaboration with various teamsDevelop data models and scalable data pipelines for BISupport the relationship between BI / Analytics and other engineering teamsRequired Qualifications2+ years of data / software engineering experienceExperience with SQL and PythonExperience with ETL / ELT developmentProficiency or experience with Airflow, AWS, DBT, and SnowflakeFamiliarity with a BI visualization tool like Looker or Tableau
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As a Software Engineer III at JPMorgan Chase within the Corporate Tech, Finance Risk Data and Controls team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. We have an exciting and rewarding oppor...
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A company is looking for a Senior Software Engineer - Data and Automations to lead a project focused on building and optimizing automations for web-based job post data extraction and cleaning. ...
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A company is looking for a Software Engineer, File Systems. ...
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Performs modeling of data sources and flows, works with data management staff to define an operational framework that will define, develop and implement policies and security frameworks to ensure precise and secure delivery of knowledge and information. Perform modeling of data sources and flows, wo...
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Have proven software development experience with an education background in Engineering/Computer Science. Developing software in a Linux environment to collect product-use, customer user, and customer account data. ...
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Constantly look for useful attributes to expand our core data assets from various data sources, like US census bureau, and validate the usefulness of the new data. You will have the opportunity to train yourself, with help from more senior team members, on using various data tools to analyze various...
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The Full Stack Senior Data Scientist is a key role in the transformation of business. They will use relevant statistical techniques, machine learning models and artificial intelligence algorithms to analyze data, design data models and derive insights to influence actions that maximize business valu...