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As a Senior Data Engineer on the MMA National IT Data and Analytics Team, we will count on you to develop and maintain scalable data pipelines, enhance data models, and provide subject matter expertise in data acquisition and consumption pipelines on Azure, Databricks and Confluent.
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You will leverage background in remote sensing, image processing, statistical, geo-statistical and machine learning models to analyze complex imagery data to develop an scalable image processing pipeline.
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Degree in engineering or construction management as well as 2 years of on-site Data Center construction scheduling experience is required. Develop and maintain project schedules identifying relationships, logic, milestones and constraints for Data Center construction projects through interactive planning with the project team.
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Identify opportunities to leverage technology to improve ability to compile, analyze, and report item creation and data (e.g. smartsheet, access, excel, JDE, Cantor, AQ, etc.) Implement data governance processes for item master data maintenance.
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Design migration strategies to move clients' data infrastructure to modern database platforms (including experiences with Databricks, mandatory; Snowflake, nice-to-have.) Provide guidance and expertise on data governance, data security, and data quality management.
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At least 3 years of experience with enterprise class Business Intelligence (BI) data gathering and reporting solutions using SQL, Tableau, Web Analytics, and Power BI platforms. Experience in the following fields preferred: Mathematics, Economics, Project Management, Social Science Research, and Data Analytics Framework.
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Analytical ability - Ability to propose data-driven product specs/price, etc. Related: ecommerce, e-commerce, digital marketing, marketing assistant, marketing coordinator, marketing specialist, marketing analyst, product associate, product analyst, ecommerce specialist, ecommerce clerk, ecommerce coordinator, ecommerce merchandising, ecommerce assistant, ecommerce analyst, e-commerce analyst.
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The Senior Data Scientist will be responsible for the development and implementation of predictive modeling algorithms and techniques to solve complex business problems and optimize member experiences.
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These positions are responsible for assisting residential appraisal staff by collecting and validating residential assessment data. Performs field audits of single family residential property to verify assessment records by reviewing, measuring and making necessary data changes.
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We're seeking an experienced BI Manager to lead our team of data experts in developing innovative analytics solutions that align with our company's IT and business strategies. Bachelor's degree in a quantitative field (Data Analytics, Computer Science, MIS, Statistics, etc.
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Typically, depending on an applicants education, experience, other qualifications they possess, if they are a fit for the company and local office culture, and the current business needs, an Entry-Level Field/Lab Technician typically would be placed at a Shannon & Wilson Technical Services I, II or III level.
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At the forefront of specialized financial services, Liberty National helps families safeguard their assets and promises a profound purpose: ensuring a brighter future for every client.
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Must have strong interest in applying, deploying and scaling data driven solutions across business domains (e.g. Finance, Sales and Marketing), Supply Chain and customer-facing projects. + Must be proficient in verifying raw data integrity through automation and classic extract-transform-load (ETL) techniques.
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The engineer will advance through developmental stages that range from professional work under close supervision and receiving specific and detailed instructions to providing instruction and close supervision for entry level professional staff as to complete required tasks and deliver results expected.
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Hands-on experience shipping scalable data solutions in the Azure Cloud (e.g., AWS, GCP, Azure), across multiple data stores (e.g., Snowflake, Redshift, Hive, SQL/NoSQL, columnar storage formats), and methodologies (e.g., dimensional modeling, data marts, star/snowflake schemas.
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Title: data entry Company: Canada Survey Job in University City, MO
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