Data Engineer

Securing the Future with AvePoint

AvePoint is a global leader in data management and governance, trusted by over 21,000 customers worldwide to enhance their digital workplaces across Microsoft, Google, Salesforce, and other collaboration platforms. Our global channel partner program includes more than 3,500 managed service providers, value-added resellers, and systems integrators, with our solutions featured in over 100 cloud marketplaces. To learn more, visit www.avepoint.com.

At AvePoint, we are dedicated to investing in our people. Our culture, driven by agility, passion, and teamwork, empowers you to shape your career, make a significant impact, and take ownership of your future. Discover how you can unleash your potential with us!

Job Summary
We are seeking a skilled Data Engineer to join our dynamic team in the Enterprise Knowledge Department, where you will play a pivotal role in transforming how we work with structured and unstructured data. You will be responsible for developing, enhancing, and maintaining IT systems and applications that support our data management needs.

Key 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.

What We Are Looking For

• 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.

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