Data Engineer
Singapore
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting
What you’ll work on
Full postingAnalyze data needs and document technical requirements
Plan, design and implement data engineering jobs and reporting solutions
Migrate data collection processes to more efficient channels
Develop test plans and scripts for system testing and user acceptance support
Keep IT solutions running smoothly, including addressing production issues
From the employer’s posting
Analyze data needs and document technical requirements.
Plan, design, and implement data engineering jobs and reporting solutions to meet analytics needs.
Migrate data collection processes to more efficient channels.
Develop test plans and scripts for system testing and support user acceptance testing.
Ensure the smooth operation and performance of IT solutions, including addressing production issues.
What you’ll bring
All qualificationsCore experience
- Expertise in big data engineering with Python, PySpark, Linux and ETL tools like Informatica
- Strong SQL skills with data modeling and analysis
- Knowledge of analytics and data warehouse implementations
- Proficiency with reporting or visualization tools like SAP BO and Tableau
- Strong understanding of waterfall and Agile methodologies
Preferred experience
- Hands-on experience with DevOps deployment and data virtualization tools such as Denodo (preferred).
- Experience working with Hive, Impala, and Cloudera Data Platform is preferred.
- Experience in high-availability, high-performance systems hosted in data centers or hybrid cloud environments is a plus.
Qualification wording
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.
Proficiency with reporting or visualization tools like SAP BO and Tableau.
Strong understanding of waterfall/Agile methodologies.
Hands-on experience with DevOps deployment and data virtualization tools such as Denodo (preferred).
Experience working with Hive, Impala, and Cloudera Data Platform is preferred.
Experience in high-availability, high-performance systems hosted in data centers or hybrid cloud environments is a plus.
Tools in this posting
- Python
- SQL
- Hive
- SAP
- Tableau
- PySpark
Source — Tool mentions in context
- 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.
- 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.
- 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.
- 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.
Posting record
Report an errorOpen 5 monthsWe first saw this posting 165 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- May 17, 2026 · 165 days ago
- Recorded sightings
- 187
- Last seen by us
- Oct 29, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the pay range before committing time to the process.
Complete your application on www.avepoint.com. The employer’s form will show what is required.
Already applied? Track this application
Job description
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 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.
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.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Singapore
- 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.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
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