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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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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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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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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.
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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 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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3+ Years of experience using complex ETL solutions (ex: Boomi, Celigo, Azure Data Factory, SSIS, etc. 10+ Years of experience as a systems architect or similar role with a strong emphasis on data architecture, the.
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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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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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Experience with Big Data technologies like Hadoop, Spark, data lakes, and cloud platforms (AWS, Azure, GCP) You will support developing and improving master data management to increase operational efficiency, provide high-integrity informational reporting, strengthen data governance, and increase data value by deploying user-friendly processes and system tools and simplifying data architecture.
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Assist with fielding tasks (Engineering Design Notetaking for both aerial and underground, pole data collection, etc. Exhibit understanding of basic Telecom, Fiber-Outside Plant (OSP) design (FTTX, MDU, wiring diagrams, splicing schematics, equipment types, etc.
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Currently Crowe's Data Governance Program has the following components: Data Governance Operating Model, Master Data Management (MDM), Data Governance Policies, Procedures and Workflows, Data Quality Management, Metadata Management, and Data Compliance Oversight.
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Understanding technology and Knowledge of Cloud Platforms and Big Data engineering is a critical success factor. Familiarity with Healthcare interoperability technologies and data exchange protocols, such as FHIR, HL7, and others.
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Basic knowledge of ASTM and ASME specificationsBasic knowledge of pipe flange designBasic knowledge of steel metallurgyBasic technical writing skillsAdvanced proficiency in the use of computers for technical problem solving, word processing, creation of technical presentations and data analysis.
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big data jobs Title: nursing Company: Gentiva Hospice in Fort Lauderdale, FL
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