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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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In the Data/CQI Administrative Specialist role you will apply your knowledge and experience to support evaluation and continuous quality improvement (CQI) on a national technical assistance project in a federal consulting environment.
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QTS Data Centers is a Blackstone REIT Portfolio companyQTS Data Centers is seeking a DCIM Engineer II / Controls Engineer II (Senior Data Center Infrastructure Management (DCIM) Engineer) to be based at one of our brand new mega data center campuses in the US. Quality Technology Services (QTS) is a leading provider of data center solutions across a diverse footprint spanning more than 9 million square feet of QTS Mega Data Centers throughout North America and Europe.
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Remote Work From Home Data Entry Clerk for Entry Level Position Work at home position for job seekers from virtually any work background who are interested in part-time, side gigs, micro jobs, work from home jobs and remote telecommute jobs.
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Job Req ID: 25346 About Supermicro: Supermicro is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide.
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We provide training and tools to help you succeed in this industry Excellent gig for Stay at home moms, retired folks, disabled people and anyone looking to learn how to make income online. This is a great way to earn extra money in your spare time by working at home.
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A robust understanding of core data engineering topics – ETL vs ELT, structured and unstructured data, data quality and data governance. The teamThe US data engineering chapter is a professional practice of data and data quality engineers.
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Our cultural resources team includes experts in architectural history, history, archaeology, GIS, data management, environmental regulations, and planning. Interest or experience in environmental planning and regulatory compliance (California Environmental Quality Act, National Environmental Policy Act, and National Historic Preservation Act (Section 106) and historic preservation.
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Proven experience as an MEP Manager, QA/QC Manager, Quality / Cx Lead PM, Commissioning Manager, or similar role in data center and mission-critical projects. As the Commissioning Manager for Data Center Construction & Mission Critical Projects, you will be responsible for ensuring the highest standards of MEP systems, quality assurance, and commissioning processes throughout the construction phase.
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You will be a key quality leader for site activities including data automation, statistical analysis, problem solving, action plans, RFCs, and preventative actions to reduce/eliminate risk to customer’s product performance.
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Strong understanding of data governance, data quality, and data security principles. Title: Data Quality Engineer. Ensure data quality and integrity by developing and implementing data validation and testing strategies.
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Experienced in using Talend Data Fabric tools including Talend DI, Talend Bigdata, Talend MDM, Talend Data Quality, Data Governance, and Talend Data preparation, Enterprise services Bus, Talend Cloud, TAC and TMC.
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The Clinical Data Analyst partners cross functionally to identify risk to data integrity throughout the data flow to drive quality collection for non-EDC data sources (fluid & tissue labs, digital, imaging, wearables) in Dyne's clinical studies.
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Reviews, analyzes, evaluates, and distributes data from all system Quality reports (i.e. Core Measures Results Reports, Complication reports, CMS QIO data), and relates the data analysis to the appropriate committees, and the CMO.
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Understanding of GCP services related to big data like BigQuery, Dataflow, Pub/Sub,GCS, Composer/Airflow. Or, similar solutions in AWS: Redshift, SNS, SQS, S3, Kinesis and others Nice-to-Have Skills Big Data Processing: ETL/ELT experience Linux/Unix: Bash shell scripting Scripting Languages: Groovy, Python Containerization & Orchestration: knowledge of Docker, Kubernetes Cloud Certification: Relevant certifications in cloud technologies.
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data quality jobs Title: developer Company: Icf
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