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Data Engineer
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ScrollTab . Get AI-powered advice on this job and more exclusive features. Responsibilities Analyze, develop, combine raw information, and maintain various data sources. Identify opportunities to improve data quality while building data systems and pipelines. Understand basic ETL concepts to prepare both structured and unstructured data for predictive and prescriptive modeling. Follow enterprise project life cycle and prepare for integration and user acceptance testing. Take accountability and responsibility of assigned work, maintaining communication with the team. Curiosity with identifying opportunities for data acquisition and understanding of data domain knowledge. Collaborate with Business Intelligence (BI) ETL Developers/Data Architect, Data Scientists, Reporting Analysts, and Subject Matter Experts (SME) to understand business goals. Produce technical documentation by following enterprise standards and guidelines. Participate in relevant information?sharing activities. Serve as escalation point for application support and troubleshooting. Proactively identify issues and opportunities that will impact business use of data/reports and ensure managerial awareness. Daily review outstanding issues to assure troubleshooting and resolutions are current. Ensure all changes comply with change?management policies and procedures.
This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice. Qualifications Major: Computer Science or Computer Engineering. Degree must be from an accredited college or university.
Job?Related Experience
Customarily has at least one year of understanding and working knowledge in software development, data?centric or model?centric pipelines. Competent with relational database concepts. Documentation and publication experience.
Job?Related Skills/Competencies
Core competencies of service mentality, attention to detail, sense of urgency, initiative and flexibility. Ability to make decisions or solve problems using logic to identify key facts, explore alternatives, and propose quality solutions. Outstanding customer?service skills and the ability to deal with people in a manner that shows tact and professionalism. Ability to handle sensitive and confidential information (including HIPAA and PHI) in accordance with federal and state laws and company policies. The hiring process requires passing a full technical assessment and interview completed onsite. Ability to write SQL queries, develop and tune performance. Develop skills for appropriate use of technology at various levels of development and project. Learn and familiarize with tools such as SQL Server, SSIS, Python, Azure, Docker, Git, and Visual Studio. Azure experience is preferred with working knowledge of Azure Data Factory, Azure Web Application, and Azure ML platforms. Ability to understand and interact with cloud technologies such as Azure, AWS, and/or GCP is preferred. Understand data?management processes and work with cross?functional teams. Support current and future initiatives of application development. Participate in peer review of code and maintain repositories. Highly organized. Communication skills to speak and write in a clear and professional manner. Skilled at listening and providing feedback.
Seniority Level
Entry level Employment Type
Full?time Job Function
Information Technology #J-18808-Ljbffr
Sprachkenntnisse
- English
Hinweis für Nutzer
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