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


Job description

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Job Description & Summary

At PwC, we help clients build trust and reinvent so they can turn complexity into competitive advantage.

We’re a tech-forward, people-empowered network with more than 370,000 people in 149 countries.

Across audit and assurance, tax and legal, deals and consulting we help clients build, accelerate and sustain momentum.

Find out more at .

How will you value-add?

  • Design, develop, and maintain robust ETL/ELT pipelines using tools like Azure Data Factory, Azure Data Bricks and MS Fabric.

  • Build and optimize Data Architectures (Data lakes, Data warehouses) on Azure Data Services, Azure SQL PaaS and Power BI.

  • Collaborate with data analysts, and business stakeholders to understand data requirements.

  • Ensure data quality, integrity, and security across all data systems along with authentication and authorizations for databases.

  • Monitor and troubleshoot data pipeline performance and reliability.

  • Implement best practices for data governance, metadata management, and documentation.

  • Memory management for database systems.

  • Develop database schemas, tables, and dictionaries.

  • Ensure data quality and integrity in databases and fix performance issues with corrective measures.

  • Work with structured and unstructured data from various sources (APIs, databases, flat files, etc.).

  • Perform regular audit checks.

About you

  • Bachelor's or master's degree in computer science, Engineering, Information Systems, or related field.

  • Good to have Azure Data Engineer certification.

  • 2-3 years of experience in Data Engineering or related roles.

  • Proficiency in MS SQL T-SQL and programming languages such as Python or C# .Net.

  • Experience with data pipeline orchestration tools like Azure Data Factory or Azure Data Bricks.

  • Familiarity with cloud data platforms like MS Fabric.

  • Strong understanding of data modeling and warehousing concepts.

Required Skills

Optional Skills

Additional Information

  • Available for Work Visa Sponsorship?

    No
  • Government Clearance Required?

    No
  • Seniority level: Associate
  • Employment type: Full-time
  • Job function: Information Technology
  • Industry: Accounting

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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.

33753 Jobs in Singapore
33753
28966 Jobs in Singapore
28966
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 PwC Singapore 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

PwC Singapore 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 PwC Singapore'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 PwC Singapore, 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 PwC Singapore'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!