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NoSQL data stores, Advanced Degree in a quantitative discipline such as Statistics, Math, Engineering, Physical Sciences, Computer Science or another quantitative discipline, Portfolio of completed projects either educational or professional, SQL for data extraction and management (Oracle, MySQL), Machine learning methods in data analysis, Mapping business needs to engineering systems, HTML, Python or Javascript experience a plus, Relational databases for data storage and analysis, Proficient use of Excel. We will scope the role to the experience. Perform system backups and recovery per backup schedule and as supervised by the IT manager to ensure system stability. Interest for food products and interest for applying statistics to ensure the quality and safety of food products. Find out what is the best resume for you in our Ultimate Resume Format Guide. Responsibilities: Provided weekly data insights on the politically exposed persons, sanction lists, and monitoring their activity to help … Support of 911 PSAP's including software and hardware loads and repair. fuzzy matching), text mining, and data reduction, Experience with programming and data tools such as SAS, SQL, R, Python, Hadoop, Hive, Pig, etc, Experience with productivity tools such as Excel, Word, and PowerPoint, Interest in insurance topics (claims, pricing, underwriting, marketing and or sales distribution), Assisting in the production of Life Replicating Portfolios, Analysing large data sets (financial instruments and market data), Designing innovative solutions to our processes and analyses using latest technology for data Manipulation, Supporting maintenance of existing DB, Excel and Matlab based tools, Supporting miscellaneous projects in Global Life Actuarial, Following the Zurich methodology standards, Having impact on our processes improvement, Undergraduate or advanced degree in a quantitative discipline (i.e. Implemented Agile methodology to finish requirements in iterations for project development. Experience in working on MVC architecture in Linux platform to develop C++ based application in SQL DBA. ), SQL for data extraction and management (MSSQL, Oracle, MySQL, postgresql etc.). Data … 4569 Larsson Drive, Tucson, AZ 8975 (480) 239-2390. Don’t Undersell Your Soft Skills. Applicants for jobs in engineering are often required to demonstrate technical expertise and problem solving abilities. The Senior Data Engineer is responsible for overseeing junior data engineering activities and aiding in building the business’ data collection systems and processing pipelines. and the speed or sudden variations in data collection, Collaborates with the data engineer to ensure that the data used follows the compliance, access management, and control policies and that it meets the qualification and assurance requirements, Bachelor’s degree in mathematics, statistics or computer science or related field, Experience manipulating large datasets and using databases, and experience with a general-purpose programming language (such as Hadoop MapReduce or other big data frameworks, Java), Experience in the use of statistical packages, Familiarity with basic principles of distributed computing and/or distributed databases, Mine large geospatial dataset and many different sources for data enrichment to generate new insights or detect hidden patterns, Explore large catalogue of data to generate hypothesis with business value for the transportation industry, Work with other experts at WABCO to improve overall architecture, data format, data workflow, data storage strategies and security guidelines, Work closely with Data Engineers and product management to turn data analysis into actionable algorithms, applications, etc, Provide comprehensive business report over complex analysis with modern data visualization techniques, Master Degree in IT or related area of study, 5+ years of work experience and 2+ years of professional experience developing large, distributed data warehouses, big data, or real-time data intensive applications, Highly experienced with Hadoop and AWS environment, Hands-on experience coding in Java, Scala, Python, R, SQL or other advanced programming languages is required for this role, Big data modeling work experience with Hadoop, Spark and Zeppelin or Jupyter is required, Proficient with NoSQL databases such as MongoDB, HBase, Cassandra, …, Excellent interpersonal, written and verbal communication skills is a must, Strong experience with rapid prototyping, Agile/SCRUM is needed, Highly analytical mindset with problem solving attitude, Good presentation skills with ability to explain sophisticated solution in layman terms, Dynamic, driven and energetic team player being able to work under pressure and tight deadlines, Multicultural resourcefulness and global mindset. 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