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AWS Data Engineer Job Opening In Singapore, Singapore – Now Hiring Unison Group


Job description

  • Design and build scalable ETL pipelines and data integration workflows using AWS services and Python.

  • Develop and optimize data lake and data warehouse solutions for structured and unstructured data.

  • Leverage Apache Spark for large-scale data processing and transformation tasks.

  • Collaborate with cross-functional teams to gather requirements and deliver clean, usable datasets for analytics and reporting.

  • Ensure high data quality, security, and compliance in all stages of the data lifecycle.

Requirements

  • 5+ years of hands-on experience in data engineering roles.

  • Proficiency in Python for building and automating data pipelines.

  • Strong experience with AWS services (S3, Glue, Redshift, Lambda, etc.).

  • Solid understanding of ETL processes and modern data warehousing concepts.

  • Experience with big data tools, especially Apache Spark (PySpark preferred).

  • Familiarity with DevOps and CI/CD practices for data pipeline deployment.

  • Knowledge of data governance and cataloging tools.

  • Strong problem-solving, communication, and collaboration skills.

Required Skill Profession

Other General


  • Job Details

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Unlock Your AWS Data Potential: Insight & Career Growth Guide


Real-time AWS Data 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 AWS Data in Singapore, Singapore, highlighting market share and opportunities for professionals in AWS Data roles.

6122 Jobs in Singapore
6122
5449 Jobs in Singapore
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Download Aws Data Jobs Trends in Singapore and Singapore

Are You Looking for AWS Data Engineer Job?

Great news! is currently hiring and seeking a AWS 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 Unison Group 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 AWS 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 AWS Data Engineer?

Key qualifications for AWS Data Engineer typically include Other General 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 AWS Data Engineer?

To improve your chances of getting hired for AWS 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 AWS Data Engineer Job Success

Unison Group interview tips for AWS Data Engineer

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

Before the Interview:

Research: Learn about the Unison Group'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 AWS Data Engineer interview at Unison Group, 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 Unison Group'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!

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