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Extensive experience in data warehousing, data management, and business intelligence with proven expertise in Google Cloud Platform (GCP) and its data services (Big Query, Cloud Storage, Dataflow, etc.
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Architect and drive the end-end Big Data deployment automation from vision to delivering the automation of Big Data foundational modules (Cloudera CDP), prerequisite components and Applications leveraging Ansible, Puppet, Terraform, Jenkins, Docker, Kubernetes to deliver end-end deployment automation across all ServiceNow environments.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Experience or a high level understanding of Big Data technologies on a Hadoop platform (e.g. Informatica, Scoop, Hive, Pig, NoSQL) Senior Data Quality Assurance Engineer, Informatica, Tableau, QlikView, Quality Center, Data Strategies, Data Delivery, Hadoop, Data Quality Testing, ETL Testing, ETL tools, Oracle, SQL Server, SOAP UI, Jenkins, AntHill Pro, Bamboo, Quality Center, Agile Central (Rally), Scoop, Hive, Pig, NoSQL.
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Knowledge of advanced analytics tools such as Apache Spark, Databricks, and H2O for handling big data sets and performing distributed computing. Qualifications Job Qualifications: • Expertise in advanced data science, machine learning, and artificial intelligence techniques, supported by a strong track record in programming languages such as Python, R, SQL, and proven software engineering methodologies.
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Epic Games is looking for a Data Analyst to join our growing Ecosystem Security team. The primary objective of the position is to use data to fight cheating, fraud, or any other type of ecosystem security threat, so that Epic can create the best possible products.
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SynergisticIT - Home of the Best Data Scientists and Software Programmers in the Bay Area. Knowledge of Statistics, SAS, Python, Computer Vision, data visualization tools. SynergisticIT at Gartner Data and Analytics Summit 2023 - YouTube.
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Delivery experience in Data Engineering with Google Cloud Platform including Big Query, Dataflow, Cloud Data Fusion, Cloud Composer, Dataproc, Cloud Pubsub, Cloud Function etc. + Delivery of related information software solutions such as data warehouses and integration platforms.
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Deliver datasets from onboarding through mapping and automated DQ so they can be handed off to the Data Operations team for DQ maintenance and consumed by research teams and production. The Asset Management Quant Research Engineering team is looking for a Director of Data Engineering who wishes to take on the challenge of building a world-class data operation.
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Experience presenting data visually using tools like Tableau, QlikView, Cognos, Microsoft Power BI, Google Charts, and/or other similar tools. Perform data research and analysis to support mother/birth parent to baby matching using data resourced from NC Birth Certificate data in support of complex maternal measures, analysis of data resourced from the NC Immunization Registry and Health Information Exchange.
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Knowledge of key pharmaceutical industry data sources (e.g., IQVIA, Symphony). To be successful in this role, you must transform data, both qualitative and quantitative, into clear and actionable insight.
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As a People Analytics Consultant, you willengage with clients to advance their people analytics capabilities across strategy, people, process, data and technology and to help them to deliver business-driven, actionable people insights across work, workforce and workplace topics (e.g., DEI, attrition, mobility, future of work, talent acquisition, compensation, performance management, etc.
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We need help in extrapolating raw data from surveys, entering data into software and interpreting what it all means. Salary: Data Entry Work from Home - Part Time Computer Job.
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Cloud Big Data skills, such as Azure, AWS, Snowflake. Must have advanced level SQL programming and Data Visualization skills (Tableau, Power BI, Spotfire, D3. Deep knowledge of Life Sciences Research and Early Discovery (R&ED ) data & analytics in Target Screening, Lead Optimization, Vaccines, Lab - Dry & Wet, Instrumentation, LIMS, CMC and other relevant areas.
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Technical expertise in data models, database design development, data mining and segmentation. Strong leadership in the data governance space. Ensure a consistent approach and process is utilized across the company for disaster recovery, capacity monitoring, and data backup.
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SQL ,Hive and Big Data Environment Exposure (Preferred, Not Required) Specifically they will be aligned with the Enterprise Data Solutions Team, within the Data and Analytics organization.
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big data jobs Title: big data software Company: Change Healthcare in Raleigh, NC
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