Data Engineer

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Verification

Not verified last checked Jun 13, 2026

Salary

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401(k) match

Listed Source: EMPLR_CONTRIB_INCOME_AMT. source Last checked Jun 13, 2026.

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Schedule

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Weekend work

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Application

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Assessment

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Deadline

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Where they hire

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About this role

Data Engineer Singapore 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! 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

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