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Data Engineer Job Opening In Singapore, Singapore – Now Hiring CDG ZIG PTE. LTD.


Job description

The Engineer, Data should have a proven track record of delivering data pipeline solutions and architecture.

He/She should also understand business requirement and able to build reliable data infrastructure using big data technologies.

Ideally, you are someone who enjoys optimizing data pipeline, automating and building from scratch.

Job Responsibilities

  • Contribute to the full data engineering lifecycle, including conceptualization, data modeling, implementation, and operational management of data systems.

  • Build and maintain robust, scalable data infrastructure, including real-time and batch ETL/ELT data pipelines, using orchestration tools like Apache Airflow.

  • Support the development and management of the organization's data lake and data warehouse by implementing data models and applying modern data transformation practices with tools like dbt.

  • Automate data processes by integrating different systems, APIs, and third-party services to ensure smooth data flow and synchronization.

  • Adhere to and help enforce best practices for data governance, quality, and lineage, while implementing monitoring and alerting to ensure system reliability.

  • Collaborate with cross-functional teams to help translate business requirements into technical specifications and production-ready solutions.

  • Develop, deploy, and maintain internal automation solutions and tools by applying AI, web scraping, and custom logic to create effective data products.

  • Any ad hoc duties as assigned

Job Requirements

  • Bachelor's degree in computer science, Software Engineering, or related field is preferred.

  • Minimum 2 years of similar experiences
  • Solid understanding of software engineering principles, system architecture, and object-oriented design, with experience building applications.

  • Strong proficiency in Python, including experience with data manipulation libraries (e.g., Pandas, NumPy) and frameworks for web scraping (e.g., Scrapy) or AI/ML (e.g., TensorFlow, PyTorch), is a plus.

  • Experience with workflow orchestration tools like Apache Airflow for managing data pipelines.

  • Familiarity with data transformation tools like dbt and an understanding of modern ETL/ELT design patterns.

  • Experience with data modeling techniques (conceptual, logical, physical) and data warehouse schemas.

  • Hands-on experience with any cloud platform (AWS, GCP, or Azure).

  • Proficient in SQL with experience in designing and optimizing relational databases (e.g., PostgreSQL, Oracle, SQL Server).

  • Experience with containerization and CI/CD is a strong plus.

  • Experience in building AI agents or developing solutions using Generative AI frameworks (e.g., LangChain, LlamaIndex) is a plus.

  • Good communication skills with the ability to explain technical concepts to various stakeholders.

  • A proactive and analytical approach to problem-solving with attention to detail.

  • Strong sense of ownership with the ability to work independently and manage assigned tasks and projects effectively.

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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.

33751 Jobs in Singapore
33751
28975 Jobs in Singapore
28975
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 CDG ZIG 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 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

CDG ZIG PTE. LTD. 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 CDG ZIG 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 Data Engineer interview at CDG ZIG 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 CDG ZIG 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!

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