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Data Engineer ( Spark & Hive) Job Opening In Kuala Lumpur – Now Hiring Unison Group


Job description

We are seeking a skilled Data Engineer to join our team in Singapore.

The ideal candidate will have strong expertise in SQL, Python, Spark, and Hive, with hands-on experience building scalable data pipelines, data models, and analytical solutions.

You will work closely with data scientists, analysts, and business stakeholders to deliver high-quality data solutions that support business decision-making.

Key Responsibilities:

  • Design, develop, and maintain robust, scalable data pipelines and ETL processes.

  • Optimize data storage, retrieval, and processing using SQL, Spark, and Hive.

  • Collaborate with cross-functional teams to gather requirements and translate them into technical solutions.

  • Implement data quality, validation, and monitoring processes to ensure reliability.

  • Support data modeling, warehousing, and integration for analytics and reporting.

  • Write clean, efficient, and reusable Python code for automation and data processing.

  • Ensure data security, compliance, and governance across all solutions.

Requirements

Bachelor’s degree in Computer Science, Engineering, or related field.

4–7 years of experience as a Data Engineer (or similar role).

Strong proficiency in SQL, Python, Spark, and Hive.

Experience with distributed data processing and big data ecosystems.

Hands-on experience with data pipeline tools (e.g., Airflow, NiFi, or similar) is a plus.

Familiarity with cloud platforms (AWS, Azure, or GCP) is advantageous.

Strong problem-solving and communication skills.

Required Skill Profession

Computer Occupations


  • 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 Kuala Lumpur, Malaysia, highlighting market share and opportunities for professionals in Data Engineer roles.

18927 Jobs in Malaysia
18927
3525 Jobs in Kuala Lumpur
3525
Download Data Engineer Jobs Trends in Kuala Lumpur and Malaysia

Are You Looking for Data Engineer ( Spark & Hive) Job?

Great news! is currently hiring and seeking a Data Engineer ( Spark & Hive) 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 Malaysia laws and regulations

What Is the Average Salary Range for Data Engineer ( Spark & Hive) Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Kuala Lumpur. 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 ( Spark & Hive)?

Key qualifications for Data Engineer ( Spark & Hive) typically include Computer Occupations 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.

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Interview Tips for Data Engineer ( Spark & Hive) Job Success

Unison Group interview tips for Data Engineer ( Spark & Hive)

Here are some tips to help you prepare for and ace your Data Engineer ( Spark & Hive) 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 Data Engineer ( Spark & Hive) 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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