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Data Architecture & Tools: modern cloud data platforms (Snowflake, Databricks, Big Query, RedShift), data analytics tools (Tableau, Looker, Power BI), data programming models (DataFrames, pandas), and AI (Python, R, Jupyter Notebooks, data wrangling, machine learning.
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Our transportation client is looking for a Big Data Engineer - Spark/Databricks to join their team. Must have hands-on experience with high-velocity high-volume stream processing: Apache Kafka and Spark Streaming.
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Hands-on experience with data visualization and analytic dashboard development, experience with Tableau (preferred), Domo, Power BI, Shiny, or other platforms. As required/appropriate, perform hands-on data investigation and analysis in support of program delivery, including development of conclusions and implications.
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Substantial experience operating big data infrastructure in a cloud-based ecosystem (Databricks preferred). The principal Machine Learning Engineer at WGU is both a visionary leader and a hands-on builder.
$197,000 - $305,300 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Previous hands-on experience working directly with MDM technologies that enable automated governance of data as well as capture and maintain master data architecture/lineage and metadata management (Informatica, Talend, SAP MDG, SAP Information Steward, SAP Business Objects Data Services, Winshuttle, RPA/AI, Profisee, Collibra, etc.
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Demonstrated, hands-on experience with data visualization tools, e.g. Looker and Tableau. Create new reporting and dashboards, data infrastructure, and queries to track key marketing metrics across multiple data sources leveraging SQL, R/Python, Looker, Tableau, and other visualization tools; monitor for changes in trends, share insights and make recommendations.
$152,000 - $206,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experienced in cloud architecture, design, and hands on knowledge of core CRM application, data integration & mastery services such as SalesForce, MuleSoft, Informatica. Ability to use AWS, Oracle, SalesForce Sales Cloud, Data Cloud & Marketing Cloud;, Informatica MDM & ETL, and MuleSoft as platforms for Data Services.
$117,300 - $195,500 a yearPart-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Softrams is a Maryland and Virginia-based small business information technology, consulting, and solutions provider specializing in emerging technologies for UX/UI, mobile apps, DevOps, big data analytics, data science, and cyber security.
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SQL, Alteryx, Informatica, SAS, Tableau, SSRS, DataRobot etc) and technologies (Big data like Hadoop, Python/R Programming, AI/Data Science, Skilled in the use of data wrangling and visualization tools such as Alteryx and Tableau.
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Candidate will be given the opportunity to learn and make use of sophisticated tools (SQL, Alteryx, Informatica, SAS, Tableau, SSRS, DataRobot etc) and technologies (Big data like Hadoop, Python/R Programming, AI/Data Science,) to provide customized automated solutions across multiple business segments.
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Certified Analytics Professional (CAP), Data Science Council of America (DASCA), Principal Data Scientist (PDS), SAS Big Data Professional, Microsoft Certified Azure Data Scientist Associate, or equivalents.
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Hands-on experience working with modern cloud data lake house technologies e.g. Databricks (preferred) or Snowflake. You will have indepth knowledge and experience in; cloud data lake house; Databricks (preferred) or Snowflake; cloud-native solutions knowledge; SQL or Python; modern DevOps approach; have written data code AND also the CI/CD pipelines.
$140,000 - $165,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Hands-on experience working with one or more of the following in Program Management or Healthcare SME capacity, on a large CRM, Claims Adjudication systems, Provider Data Management, Care Management system implementation; plus delivering on growth strategies, product lifecycle, data and analytics, applied AI.
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Hands on experience/expertise in Master Data Governance including (but not limited to): Material Master, Finance Master Data Objects, Customer, Vendor. Minimum of 1 end-to-end SAP Master Data Governance implementation.
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Reporting to our VP, Data Science and Analytics and partnering closely with our marketing, product, and business leaders, you will run analyses, build attribution models, and design and run experiments to identify efficient acquisition channels and translate insights and learnings to inform our growth marketing investment decisions.
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big data hands jobs Title: marketing in Atlanta, GA
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