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Broad understanding of infrastructure hardware and software systems including network, compute, storage, and security for traditional data center as well as cloud technologies such as Microsoft Azure and AWS.
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Ability to obtain or currently hold one or more of the following certifications: SAS Certified Big Data Professional, SAS Certified Data Scientist, Certification of Professional Achievement in Data Sciences, Certified Analytics Professional, CFE, CIA, CISA, CPA, CAMS, or CRCM.
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CloudHire Solutions enables enterprises in their digital transformation journey by offering Consulting and Implementation Services related to Data Analytics and Enterprise Performance Management (EPM.
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Our paid focus group members come from all backgrounds and industries including remote data entry clerk, administrative assistant, receptionist, sales assistant, customer service agent, warehouse or factory workers, driver, medical assistant, nurse, call center representative, etc.
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Dvlp & dply Big Data Apps u/Apache Spark. Dsgn & Dvlp SSIS Pkgs to move data frm var Sorcs into flat File & db's. Integ multpl data sorcs u/ ETL. Write Stord procdrs funcs & trigrs.
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3+ year experience as an inventory analyst / data scientist / strategy analyst / data analyst or equivalent educational experience such as a master's degree + at least 1 year work experience.
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Also, if you have been involved in accounting, clerical jobs, marketing, management, security, or data entry jobs, you may be a good fit for a fully remote paid Product Tester Position. If you are a manager, receptionist, warehouse or factory worker, driver, medical assistant, nurse, cleaner, college student, messenger, maid, teacher, retail associate, salesperson, secretary, server, janitor, cashier, contract worker, or intern who is looking for a flexible part-time or seasonal job, you should try paid Product Testing to supplement your income.
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Advanced Knowledge in Data Warehousing: Minimum of 5 years specializing in data warehouse design, including experience with data lakes, data-lake houses, and Azure-based technologies such as Synapse, Azure Data Lake, Databricks, and Snowflake.
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Knowledge of Statistics, SAS, Python, Computer Vision, data visualization tools. SynergisticIT at Gartner Data and Analytics Summit 2023 - YouTube. 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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Data analysis and technical interpretation of all flow cytometry data generated in the clinical flow cytometry laboratory. More than two years of experience required analyzing Flow Cytometry data of human samples.
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In connection with above duties, utilize experience in the following: Visualizing data in Tableau; SQL programming; Software, data analysis, and visualization skills, including Excel (graphs, pivot tables, formulas, statistical analysis), SQL, Tableau, and writing effective and efficient queries and meaningful visualization; Industrial knowledge, including origination side of the business; and Microsoft SQL Server and Microsoft SQL Server Management Studio.
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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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Programming Languages - SQL(Advanced), Python (Preferred), DBT (Preferred), SAS (Nice to have) Data platforms - AWS, Snowflake (Advanced), Oracle Data governance/risk management – Alation, Manta, Collibra Data Quality, Observability etc.
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Data Scientist with 4-8 years in Data Scientist, Python, Natural Language Processing (NLP), ML, AWS for a contract to hire position onsite. Implement Gen AI to leverage artificial intelligence capabilities and enhance data analysis and modeling efforts.
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Job Description: Design and implement robust data architectures, including data warehouses, databases, and big data infrastructures. Implement advanced security measures and protocols to protect sensitive data from breaches, unauthorized access, and potential cyber threats, while also ensuring compliance with industry-specific regulations and standards.
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data job Company: Pathgroup in Coppell, TX
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