| Data Engineer, Twin Cities, MN at Remote, Remote, USA |
| Email: [email protected] |
| From: Yogesh, StellentIT [email protected] Reply to: [email protected] Data Engineer Location: Twin Cities, MN Interview: Phone + Skype Job description: Must have Bachelors Degree in related field Preferably 4+ years of experience. The Data Engineer will design, build and execute high-performance, data-centric solutions using the our comprehensive big data capabilities. We seek a professional who can build and optimize data products to bring data and analytics products and solutions to our businesses. Contribute to designing solutions for big data and advanced analytics solutions aligned with requirements. Configure and develop data pipelines to move and optimize data assets. Develop technical solutions using big data and cloud-based technologies. Provide necessary technical support through all phases of testing and incident handling after deployment. Independently solve moderately complex issues with minimal supervision, while escalating more complex issues to appropriate staff. Other duties as assigned Minimum Qualifications Bachelor's degree in a related field or equivalent experience Two years of related work experience. Strong interpersonal skills; confirmed ability to build trust and strong relationships Strong conceptual, strategic-thinking, problem-solving, technical and analytical skills Three or more years of experience working with Hadoop or other big data platform and building solutions that deliver value through leveraging data as an asset. Two or more years experience in SQL scripting, Java and Python Applied experience with cloud platforms Preferred Qualifications Six years of information technology and business/industry work experience developing data or software applications including: analysis, design, coding, testing, deploying and supporting of applications Applied experience in reporting tools like Power BI , Tableau etc. Applied experience and skills with application programming interface development Experience working with various types of data sources. Keywords: business intelligence |
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| Wed Nov 30 13:17:00 UTC 2022 |