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Job responsibilities: Drive all aspects of Reporting including identifying key metrics and performance indicators, trend analysis, and delivering a meaningful story to C-Suite level management through Qlik Dashboards Develop efficient data models using set analysis functions that allow processinglarge datasets across many dimensions in dashboard software load scripts such as Qlik Sense, QlikView, or Tableau.
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Experience of implementing Amazon EMR or Big Data technologies like Hadoop, Spark, Presto, Hive will be a plus. Implementation experience of Big Data technologies like Hadoop, Spark, Presto, Hive, and Hue will be a major advantage.
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Analytics Tools: Utilize data analytics tools and software, such as SQL, Excel, Python, R, or business intelligence platforms. Proficiency in data analysis tools and software (e.g., SQL, Excel, Python, R.
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As a Capital One Lead Data Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One. Lead Data Engineer. Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake.
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Working experience with AEM, Adobe Analytics, Adobe Target,Adobe Data. Connector, AJO and CJA. ·Knowledge of DevOps tools such as Artifactory,SonarQube, Selenium, Jenkins is highly desirable ·Experience with monitoring and loggingtechniques and tools such as CloudWatch, Nagios, Splunk and Dynatrace etc AEP Certification preferred.
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Experience with Oracle Exadata, Sybase and PostgreSQL, Data migration stored procedures, functions, and views. Experience with model-driven development and data modeling using tools such as ERwin, SQL Developer Data Modeler, Oracle Designer, Sybase PowerDesigner.
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Toyota Financial Services (TFS) Data & Analytics (DnA) team is looking for a highly motivated, driven undergraduate/graduate students with an interest in technology, financial services, and the automotive industry to fill internship roles in our Data Engineering team.
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Assist with collecting survey, focus group, and interview data for the assessment and evaluation of institutional effectiveness, university programs, and student success initiatives. Essential Duties and Responsibilities This position is a member of the OISDS team responsible for compiling and merging data from different sources, data cleaning and data analysis to support assessment of student learning outcomes and institutional effectiveness.
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The Cloud Data Engineer role will support our Cloud Data Management and Advanced Analytics platforms. In this role, an employee will work with data services, data analysts and the data scientist team(s) to help the organization build out secure, scalable, fault-tolerant, and high performing cloud-based architecture to enable and sustain data-driven decisions.
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Salary: Data Entry Work from Home - Part Time Computer Job Based on experience, this position pays up to $34.00 per hour. Job Description Administration Part Time Work from Home Computer Job Work from Home Administration - Computer Online Data Entry & Short Studies/Feedback - Part Time & Full Time Work - No Experience Needed, Training Provided We specialize in market research and are looking for help in some of our work at home computer positions.
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As a VP Data Scientist, you will apply your strong knowledge of ML, NLP, Deep Learning, Knowledge Graphs and experience working with massive amounts of data. Use large scale data processing frameworks such as Spark, AWS EMR for feature engineering and be proficient across various data both structured and un-structured.
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Provide guidance and support on security-related matters, including data protection, access controls, incident response, and compliance requirements (e.g., GDPR, NIST, PCI-DSS). Assist in coordinating stakeholders to socialize and drive change regarding IT compliance, IT risk management and data privacy.
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Remote Work From Home Jobs / Data Entry Clerk - Typing - Work At Home - Doing Data Entry - 100% Remote – Earn Immediately. Our paid market survey participants originate from all backgrounds and markets including data entry clerk, administrative assistant, receptionist, sales assistant, customer service agent, warehouse or factory workers, chauffeur, medical assistant, nurse, phone call facility representative, etc.
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Must demonstrate expertise in data migration best practices from on-prem to Cloud with technologies like Hadoop and Azure cloud with Databricks platform. Must have experience with NoSql Databases like HBASEMust have experience with developing Pig scripts/Hive QL, SQOOP, UDF for analyzing all semi-structured/unstructured/structured data flows.
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Demonstrated ability to work with large data sets using Python and SQL for data mining and machine learning. Knowledge of data science and machine learning methods and models (clustering, classification algorithms, neural networks, etc.
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data job Title: technology lead Company: Optello in Parker, TX
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