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AWS Cloud Data Engineer Job Opening In Singapore, Singapore – Now Hiring SEDHA CONSULTING PTE. LTD.


Job description

Junior Data Engineer (2 to 4 years experience)

Position Overview

We are seeking a highly skilled AWS Cloud Data Engineer to design, build, and maintain scalable data pipelines and infrastructure on AWS.

The ideal candidate will have hands-on experience with cloud-native services, strong data engineering capabilities, and expertise in supporting enterprise-level data ingestion, transformation, and management initiatives.

Key Responsibilities

  • Design, develop, and maintain data pipelines and ETL/ELT workflows using AWS services.

  • Build and optimize data lakes and data warehouses on AWS (e.g., S3, Redshift, Snowflake, Databricks).

  • Implement data ingestion from multiple structured and unstructured sources.

  • Develop and deploy scalable data processing solutions using AWS Lambda, Glue, EMR, Kinesis, Step Functions, and Terraform.

  • Ensure data quality, governance, and security in compliance with organizational and regulatory standards.

  • Collaborate with data scientists, analysts, and business stakeholders to enable analytics and AI/ML initiatives.

  • Monitor, troubleshoot, and optimize data infrastructure performance and costs.

Required Skills & Qualifications

  • Bachelor's or Master's degree in Computer Science, Data Engineering, or related field.

  • 2 to 4 years of experience in Data Engineering with strong exposure to AWS Cloud.

  • Strong hands-on expertise with AWS services such as S3, Glue, Redshift, Lambda, IAM, CloudFormation/Terraform.

  • Experience with data pipeline orchestration (Airflow, Step Functions, or similar).

  • Proficiency in Python, SQL, and PySpark.

  • Strong knowledge of data warehousing, data lakes, and data management practices.

  • Familiarity with Snowflake, Databricks, or similar platforms (preferred).

  • Strong understanding of DevOps practices, CI/CD pipelines, and cloud infrastructure.

  • Excellent problem-solving and communication skills.

Required Skill Profession

Other General


  • Job Details

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Unlock Your AWS Cloud Potential: Insight & Career Growth Guide


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

2316 Jobs in Singapore
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Are You Looking for AWS Cloud Data Engineer Job?

Great news! is currently hiring and seeking a AWS Cloud 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 SEDHA CONSULTING PTE. LTD. 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 Cloud 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 Cloud Data Engineer?

Key qualifications for AWS Cloud 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 Cloud Data Engineer?

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

SEDHA CONSULTING PTE. LTD. interview tips for AWS Cloud Data Engineer

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

Before the Interview:

Research: Learn about the SEDHA CONSULTING PTE. LTD.'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 Cloud Data Engineer interview at SEDHA CONSULTING PTE. LTD., 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 SEDHA CONSULTING PTE. LTD.'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 AWS Cloud Data Engineer Positions

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