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Data Engineer Job Opening In Singapore, Singapore – Now Hiring AvePoint


Job description

Overview

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 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.

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.

Details

  • Seniority level: Entry level
  • Employment type: Full-time
  • Job function: Information Technology
  • Industries: Data Security Software Products

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Required Skill Profession

Database, Analytics & Bi


  • Job Details

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Unlock Your Data Engineer Potential: Insight & Career Growth Guide


Real-time Data Engineer Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Data Engineer in Singapore, Singapore, highlighting market share and opportunities for professionals in Data Engineer roles.

34808 Jobs in Singapore
34808
30062 Jobs in Singapore
30062
Download Data Engineer Jobs Trends in Singapore and Singapore

Are You Looking for Data Engineer Job?

Great news! is currently hiring and seeking a Data Engineer to join their team. Feel free to download the job details.

Wait no longer! Are you also interested in exploring similar jobs? Search now: .

The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at AvePoint adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying Singapore laws and regulations

What Is the Average Salary Range for Data Engineer Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Singapore. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for Data Engineer?

Key qualifications for Data Engineer typically include Database, Analytics & Bi and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

How Can I Improve My Chances of Getting Hired for Data Engineer?

To improve your chances of getting hired for Data Engineer, consider enhancing your skills. Check your CV/Résumé Score with our free Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.

Interview Tips for Data Engineer Job Success

AvePoint interview tips for Data Engineer

Here are some tips to help you prepare for and ace your Data Engineer job interview:

Before the Interview:

Research: Learn about the AvePoint's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

Additional Tips:

Be Yourself: Let your personality shine through while maintaining professionalism.

Be Honest: Don't exaggerate your skills or experience.

Be Positive: Focus on your strengths and accomplishments.

Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Data Engineer interview at AvePoint, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the AvePoint's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

How to Set Up Job Alerts for Data Engineer Positions

Setting up job alerts for Data Engineer is easy with Singapore Jobs Expertini. Simply visit our job alerts page here, enter your preferred job title and location, and choose how often you want to receive notifications. You'll get the latest job openings sent directly to your email for FREE!