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Google Cloud Platform - Professional Data Engineer, Google BigQuery, Hadoop Big Data Stack, UNIX Shell Scripting, Agile Methodology. Migrate the historical data from Teradata data warehouse to Google Cloud Platform Big Query using Big Query Transfer Service.
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6 years of experience must include: Ab initio, Informatica, Data Stage; Teradata, IBM DB2, Cognos, Oracle PL SQL; Autosys, Control-M, Erwin, XML, HTML, CSS, Unix Shell Scripts; Data Analysis, Data Processing, Code Optimization, Performance tuning; Automating Business Process and Models; Microsoft Visio, Web Services, Crystal Reports; and HP Quality Center, ALM, VSS, EME, XSD. At least 3 years must include: Hadoop, HDFS, Big Data, Hive, Spark.
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6+ years web application development experience, particularly NodeJS and Typescript(Angular, React, JavaScript nice to haves) AWS Certification (AWS Solution Architect Associate, AWS Developer, AWS DevOps.
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Seven (7) years’ experience in data integration technologies, specifically in Dell Boomi, and experience working on data integrations between enterprise applications on both on-premises and cloud environments.
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Proficient in using ETL testing tools, such as Azure SSIS, Azure Databricks and Azure Data Factory. Good experience in ETL testing techniques such as data transformation validation, data profiling, data comparison, and data quality checks.
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Work At Home Data Entry Research Panelist Jobs - Part Time, Full Time This work-from-home position is ideal for anyone with a diverse professional background, including administrative assistants, data entry clerks and typists, customer service reps or drivers.
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Must be enrolled full time at a 4-year accredited university/college in a Computer Science, Computer Engineering, Data Science/Analytics, Data Visualization, Marketing Analytics, Math, Stats, Software Engineering, Information Systems, Systems Engineering or related degree.
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Visualization Tools: Tableau (preferred), QlikView, Power BI Data Quality: Understanding of data quality best practices and experience in implementing data governance principles. Qualifications: Bachelor’s or Master’s degree in Analytics/ Data science (or) any Math/Statistics/Quant background, or Bachelor’s degree in Information Technology or Computer Science with proven experience in data engineering/ business intelligence tools especially strong understanding of database concepts and data modeling.
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Participate in designing, coding, unit testing, debugging, configuring, maintaining and documenting of high-quality Java applications using Spring Boot, Apache Camel, Spring Integration, Spring MVC, Angular, Oracle, PostgreSQL in on-prem and AWS cloud environments.
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Minimum of 5 years of experience in IT compliance, Data Governance, risk management, and technical security, with a strong focus on PCI DSS. Lead PCI DSS (Payment Card Industry Data Security Standard) compliance efforts, including annual assessments, audits, and reporting.
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Good command of database technology and query languages (SQL) and non-relational DB and other Big Data technology, including efficient storage and serialization protocols (e.g. Parquet, Avro, Protocol Buffers.
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Web Technologies: Java EE, Spring MVC, HTML, CSS, XML, JavaScript, JQuery, Junit, JSON, Ajax, Bootstrap, Angular, Typescript, NodeJS. CI/CDTools – Junit, Mockito, Karma, Jasmine, Maven, Jenkins, Nexus, Puppet, Linux/UNIX Shell Scripting.
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Management experience with these companies translates well to this opportunity: Walmart, 5 Below, Burlington Stores, Big Lots, Dollar General, Rural King, Gabes, Dicks Sporting Goods and Bed Bath and Beyond just to name a few.
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Data Scientist II, Department of NeurologyClinical Informatics and Natural Language Processing / Machine LearningWhy UT Southwestern Medical Center? A multi-year Data Scientist position is available in the Department of Neurology and the Clinical Informatics Center at UT Southwestern Medical Center.
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Proficiency in multiple programming languages, expertise in languages such as Java, JavaScript and Java frameworks like Spring, one of the JavaScript libraries Vue, React, Angular. Experience with relational, NoSQL and graph databases as well as data streaming technologies - Kafka.
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