Data Engineer

About AvePoint

AvePoint is a global frontrunner in data management and governance, trusted by over 21,000 customers worldwide to enhance the digital workplace experience across platforms such as Microsoft, Google, and Salesforce. Our extensive channel partner ecosystem includes more than 3,500 managed service providers, value-added resellers, and system integrators, and our solutions are featured in over 100 cloud marketplaces. To learn more, visit www.avepoint.com.

At AvePoint, we invest deeply in our talent. Our culture, characterized by agility, passion, and collaboration, empowers employees to develop their careers, make meaningful contributions, and take control of their professional futures. Discover how you can unlock your potential with us!

Key Responsibilities

• Evaluate organizational data requirements and document detailed technical specifications.
• Transition existing data collection workflows to streamlined and more efficient platforms.
• Design, plan, and implement data engineering tasks and reporting solutions tailored to analytics demands.
• Create and execute test plans and scripts to support system and user acceptance testing phases.
• Work closely with technical teams to facilitate the deployment and adoption of new solutions.
• Maintain smooth operations and robust performance of IT systems, including resolving issues in production environments.

Qualifications and Skills

• Comprehensive knowledge of project management approaches, specifically waterfall and Agile methodologies.
• Practical experience with DevOps deployment techniques and data virtualization platforms, with Denodo considered a plus.
• Familiarity with data visualization and reporting tools like SAP BusinessObjects and Tableau.
• Preferred experience with Hive, Impala, and the Cloudera Data Platform.
• Proficient in big data engineering utilizing Python, PySpark, Linux environments, and ETL frameworks such as Informatica.
• Strong expertise in SQL, data modeling, and analytical processes.
• Sound understanding of analytics frameworks and data warehouse deployment.
• Ability to diagnose and resolve complex technical challenges effectively.
• Experience working in high-availability, performance-optimized systems deployed on-premises or in hybrid cloud infrastructures is advantageous.

Additional Information

All personal data submitted during the application process will be handled with strict adherence to relevant data protection regulations and our Privacy Notice.