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Job Title: Sr. Big Data Developer. Job Description : 8+ years of extensive IT experience with multinational clients working in diverse fields of software development lifecycle with experience in Big Data/Hadoop Ecosystem.
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Experience with data analysis and/or data mining, knowledge of SAS, SQL, MicroStrategy, Big Data or other analytics tools like R, Python, Tableau, Power BI. Experience with data analysis and/or data mining, knowledge of SAS, SQL, MicroStrategy, Big Data or other analytics tools like R, Python, Tableau, Power BI.
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The candidate should be highly motivated with experience in database design and data management as well as clinical and public health research. The primary responsibilities of this individual will be to design, implement and manage relational databases, support data curation across research and programmatic data systems, lead data quality monitoring and control activities, create analytic datasets, and collaborate with data analysts, investigators, and collaborators on data analysis and interpretation for publication and dissemination of research findings.
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Good knowledge and hands on experience in development of Big Data platform & Cloudera Infrastructure (minimum 3-4 yrs.) Strong Hands on experience in design & development of Big Data, Spark, Python, Hive, SQL, ETL Tools.
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Hands on experience in designing and building data pipelines in Nifi/Airflow/Apache Beam in GCP (Data Proc and Big Query) for ETL related jobs. One or more years of programming experience in GCP Data Proc, Cloud Shell SDK, Cloud Composer, GCS, Cloud Functions & Big Query.
ExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
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Drives the organization towards Cloud best practices and supporting technologies to enable such capabilities as DevSecOps, Big Data/Analytics, AI, Micro-Services. The candidate will work within a team of software and IT engineers to build high performance, cloud based visualization and dissemination services based on high fidelity geospatial data sources.
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Rhombus Power Inc. (Rhombus) is a startup located in the heart of Silicon Valley at Stanford Research Park in Palo Alto. We use cutting-edge cross-disciplinary approaches to solve pressing Big Data and Sensing problems in security, energy, and healthcare.
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Demonstrable expertise in an area of data science or analytics (e.g. machine learning, deep learning, NLP, computer vision, predictive modeling and forecasting, statistics) The Data Scientist should be versed in statistics, predictive modeling, machine learning, computational simulation, geospatial modeling, network science, or other analytic techniques.
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The primary mission of the HII is to establish and maintain expertise in biomedical science, statistics, clinical trial and study design and coordination, software and data engineering, big data and high performance computing, and integrative bioinformatics.
$33,000 - $50,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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The AI & Analytics product team delivers data driven business analytic solutions leveraging artificial intelligence (AI), Big Data architecture and machine learning expertise to deliver business intelligence (BI) and analytics insight for the professional consulting market.
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Build near real time data pipeline with Apache Spark, Pyspark & Python to extract data from NoSQL DBs and Load it into Cassandra Data Enterprise Graph. o Build near real time data pipeline with Apache Spark, Pyspark & Python to extract data from NoSQL DBs and Load it into Cassandra Data Enterprise Graph.
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The Enterprise Data Modeler (EDM) at DTCC consults with product management, information technology, data stewards and other groups to ensure that s/he understands all the details of a line of business in order to design and implement the blueprint of systems that will support the work for that line of business.
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Support the adoption of Cloud best practices and supporting technologies to enable such capabilities as DevSecOps, Big Data/Analytics, AI, Micro-Services. Microsoft Certified Azure Solutions Architect Expert.
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Demonstrated experience with DOD data systems (Qlik, Databricks, AWS SageMaker) Familiarity inASAM MDF (Measurement Data Format), NASA Common Data format (CDF), and Army Bulk CBM+ Data (ABCD) formats for logging of CAN Bus data.
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Interact and support indirect tax discussions with cross functional teams such as Tax, IT, Purchasing, Sales, and Master Data. Understanding of key indirect tax processes and data drivers while possessing some industry background including retail, financial services, manufacturing and telecommunications.
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big data jobs Title: big data architect Company: Kpmg in Tampa, FL
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