AvePoint - Data Engineer
Requirements
• Strong understanding of waterfall/Agile methodologies. • Hands-on experience with DevOps deployment and data virtualization tools such as Denodo (preferred). • Proficiency with reporting or visualization tools like SAP BO and Tableau. • Experience working with Hive, Impala, and Cloudera Data Platform is preferred. • Expertise in big data engineering, using Python, Pyspark, Linux, and ETL tools like Informatica. • Strong SQL skills and experience in data modeling and analysis. • Knowledge of analytics and data warehouse implementations. • Ability to troubleshoot complex technical issues. • Experience in high-availability, high-performance systems hosted in data centers or hybrid cloud environments is a plus. • Any personal data you share with us during the application process will be processed strictly in compliance with applicable data protection laws and our Privacy Notice.
Responsibilities
• Analyze data needs and document technical requirements. • Migrate data collection processes to more efficient channels. • Plan, design, and implement data engineering jobs and reporting solutions to meet analytics needs. • Develop test plans and scripts for system testing and support user acceptance testing. • Collaborate with technical teams to ensure smooth deployment and adoption of new solutions. • Ensure the smooth operation and performance of IT solutions, including addressing production issues.
Benefits
• We are invested in the success of our colleagues, partners, customers, and community. We do this by promoting global collaboration and taking pride in helping, sharing, mentoring, and coaching each other. • Life at AvePoint
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