Data Engineer at Rapinno Tech Inc | Torre

Data Engineer

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Full-time

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Remote (for United States residents)
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Emma of Torre.ai
7 days ago

Responsibilities


Job DescriptionMinimum Position Qualifications:Extensive knowledge of data principles, patterns, processes, and practicesAny experience defining evolutionary data solutions and underlying technologiesExperience with SQL database design, data modelingAnalyze and organize raw data Build data systems and pipelinesEvaluate business needs and objectivesInterpret trends and patternsConduct complex data analysis and report on results Demonstrated written and oral communication skillsBasic understanding of network and data security architectureStrong knowledge of industry trendsKnowledge in a minimum of two of the following technical disciplines: data warehousing, data management, analytics development, data science, application programming interfaces (APIs), data integration, cloud, servers and storage, and database managementExperience building cost effective and performance driven solutions using elastic architectures in Microsoft Azure leveraging Cosmos, Azure Data Factory and Databricks Platforms.Experience with SQL and NoSQL applications on Big Data PlatformsDesired Previous Experience/Education:Any experience with operational data science, machine learning or artificial intelligence solutionsAny experience with data science solutions or platformsData engineering certification (e.g IBM Certified Data Engineer) is a plusKey ResponsibilitiesEssential Job Functions:Drive digital innovation by leveraging innovative new technologies and approaches to renovate, extend, and transform the existing core data assets, including SQL-based, NoSQL-based, and Cloud-based data platformsDefine high-level migration plans to address the gaps between the current and future statePresent opportunities with cost/benefit analysis to leadership to shape sound architectural decisionsLead the analysis of the technology environment to detect critical deficiencies and recommend solutions for improvementPromote the reuse of data assets, including the management of the data catalog for reference