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Design, develop, test, document, and support new and existing ETL processes using Microsoft SQL Server Integration Services (SSIS), AWS Glue, Azure Data Factory, IBM InfoSphere DataStage, or other tools.
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Fulfill agency configuration requests using Form Builder/JSON, SQL Server, and Microsoft Power BI. Experience building views, writing & optimizing queries, and creating reports in SQL Server.
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Hands-on experience in creating microservices architecture and cloud-native applications. Hands-on experience in Agile design and implementation approaches. Experience working with relational and big data database technologies (Databricks, Microsoft Azure.
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Hands-on coding experience using Typescript/Javascript, Java, Python, C, C. Working closely with serial entrepreneurs and seasoned engineers who have scaled companies like Robinhood, Amazon, LinkedIn, Wayfair, SoFi, Microsoft, etc.
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Job Description: you will be joining a growing team of engineers where you will be able to use and expand your mentorship and leadership abilities in a hands-on collaborative environment.
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Minimum of 3 years using at least one ETL tool such as Microsoft SQL Server Integration Services (SSIS), AWS Glue, Microsoft Azure Data Factory, IBM Infosphere DataStage, or any ETL applications.
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Affinity for program management and using technology solutions to help scale our team’s processes, and comfort with GSuite applications, Microsoft Office, and other tech SaaS tools (such as SQL, Looker, Figma, Slack, AirTable, etc.
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Query BigQuery databases using SQL to pull internal data on members and integrate with survey analysis. This individual will act as a hybrid market researcher and data scientist, leveraging tools such as R, SPSS, SAS, and SQL to automate processes and perform statistical analysis.
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Expertise in server-side software development in Golang (or other languages, e.g. Rust, C. These services drive everything in our platform from personalized workout recommendations to dynamic media generation and distribution, and analytics based on the largest and most advanced fitness data set in the world.
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Hands on experience with Amazon Web Services, Google Cloud Platform, or Azure; namely choosing platform components and assembling application and runtime architecture. Minimum 3+ years of hands-on experience managing the packaging, deployment, configuration, and observability of modern applications(several projects as ongoing contributor.
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Hands-on expertise working with Allegro, RightAngle, Endur, or similar platforms. Our Commodity Trading & Risk Management advisory practice is the epicenter of innovation, where we tackle the toughest challenges head-on and drive monumental shifts in the commodities landscape.
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Preparing and modeling data in SQL, Tableau, and/or Qlik; Our team helps organisations deliver on their large scale capital programs and portfolios by providing assurance, tax, consulting, deals and forensics services across the capital program lifecycle.
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The ideal candidate should have hands-on knowledge on common loss forecasting methodologies (e.g. econometrics modeling, survival modeling, state transition, Markov Chain etc.) Hands-on knowledge on common loss forecasting methodologies, e.g. econometrics modeling, discrete survival modeling, state transition, Markov Chain etc.
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General knowledge of computer applications, such as Microsoft Office Suite (Word, Excel and Outlook) and related information systems (Radiology (RIS), laboratory (LIS), electronic health records (EHR), EPIC, and picture archive and communication system (PACS.
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Field experience: hands-on solar, electrical panel wiring, or related electrical installation; familiarity with utility and field metering and data collection software. Hands on experience with mechanical systems (HVAC, automotive, industrial, construction, etc.
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