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Net, C#, Qlik, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Kinesis, QuickSight, SageMaker, S3, Databricks, AWS Lake Formation, Snowflake, Python, Qlik, Athena, Data Pipeline, Glue, Star Schema, Data Modeling, Performance Tuning, SQL Individual salaries that are offered to a candidate are determined after consideration of numerous factors including but not limited to the candidate’s qualifications, experience, skills, and geography.
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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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Derek Bang, the practice founder and inventor of the group’s flagship software product for net revenue reporting, Revenue Cycle Analytics (RCA) came to Crowe nearly 20 years ago with an idea for a strategic pursuit in the Healthcare Industry through his previous experience as a Healthcare Auditor at a Big 4 firm.
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Managed Azure cloud infrastructure, including Databricks for big data and AI/ML in corporate finance. As a Sr. Lead CloudOps Engineer on Stryker’s Finance Data Science & Engineering team, you are set to lead at the convergence of cloud computing, AI, and financial analytics.
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Be a data steward to define the data quality expectation in the context of Market Risk. Experience in data visualization, such as PowerBI. Collaborates with the data management unit to ensure that the information used follows the compliance, access management, and control policies and that it meets the qualification and assurance requirements of the organization.
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Utilize Databricks, dbt, and other cloud-based tools for data analytics and transformation tasks. Understanding of the modern data stack and data engineering principles. 2+ years of experience in data engineering or analytics.
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Position Purpose: Responsible for advanced and predictive data analytics using big data and data science technology for healthcare innovation. Knowledge/Experience: Master’s degree in Statistics, Mathematics, Computer Science, Informatics, Econometrics, Engineering, Experimental Science with 1+ years of experience or Bachelor’s degree and 3+ years of quantitative analysis experience in data science capabilities including data mining, predictive modeling, machine learning, statistical modeling, large scale data acquisition, transformation, and structured and unstructured data analysis.
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Knowledge of Statistics, Gen AI, LLM, Python, Computer Vision, data visualization tools. We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions with clients.
$150,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Experience in working with petabyte scale data sets and developing ML frameworks in Databricks, Snowflake or similar large platforms. The ideal candidate will have a strong background in data science, programming, and machine learning algorithms and will be passionate about leveraging data to drive business decisions.
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By applying, you consent to your information being transmitted by Jobcase to the Employer, as data controller, through the Employers data processor SonicJobs. Nicholas J. Ryan & Associates, insurance staff counsel for State Farm Mutual Automobile Insurance Company, seeks an insurance defense attorney.
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You will be responsible for working closely with our big box retail partners and their Shop-at-Home program leads to close sales for custom shutters, blinds, and shades. Valuable hands-on experience with big box retailers: focused on selling and customer service.
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This person consults with Credit Review team members to develop and apply data analysis and data visualization strategies to enhance the quality and effectiveness of credit risk assessments and ongoing monitoring activities.
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Good understanding of ICT Services and solutions Knowledge of IT Systems and Applications Understanding of TCP/IP protocols and LAN/WAN configurations Experience in network management, IT Service Management, Data Security Management, Cyber Security Proficient in English (both oral and written) Customer-centric approach Strong coordination and organizational skills.
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Technical capabilities in: Informatica, Azure Data Factory (ADF), DataBricks, MS Azure, Oracle Exadata, Hadoop, Big Data, NoSQL, PL/SQL, SQL, T-SQL. The Senior Manager is a data manager who is responsible for leading the data engineering functions by delivering enterprise curated data solutions that enables our enterprise-wide Data and AI platform to drive business value and customer success.
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Experience with analytic and data visualization e.g., Hadoop, Spark, HDF, HDP Power BI, Tableau, Hive. Proven experience as a Data Architect, Data Engineer, or similar role. Knowledge of data governance and data security practices.
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big data jobs Title: nursing Company: Gentiva Hospice in Hollywood, FL
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