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Big Data Engineer - Data Platform Job Opening In Singapore, Singapore – Now Hiring TikTok


Job description

About the team

The mission of the Data Platform Singapore Business Partnering (DPSG BP) team is to empower the TikTok Business with data.

Our goal is to build a Data Warehouse that can cater to batch and streaming data, Data Products that provide useful information to build efficient data metrics & dashboards which will be used to make smarter business decisions to support business growth.

If you're looking for a challenging ground to push your limits, this is the team for you! As a data engineer in the data platform team, you will have the opportunity to build, optimize and grow one of the largest data platforms in the world.

You'll have the opportunity to gain hands-on experience on all kinds of systems in the data platform ecosystem.

Your work will have a direct and huge impact on the company's core products as well as hundreds of millions of users.

What you'll do:
- Design and build data transformations efficiently and reliably for different purposes (.

reporting, growth analysis, and multi-dimensional analysis)
- Design and implement reliable, scalable, robust and extensible big data systems that support core products and business
- Establish solid design and best engineering practice for engineers as well as non-technical people
- Develop and implement techniques and analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualisation software.

- Apply data mining, data modelling, natural language processing, and machine learning to extract and analyse information from large structured and unstructured datasets.

- Visualise, interpret, and report data findings and may create dynamic data reports as well.



Minimum qualifications
- Bachelor or Masters degree in Computer Science or related technical field or equivalent practical experience
- At least 3 years of experience in the Big Data technologies (Hadoop, M/R, Hive, Spark, Metastore, Presto, Flume, Kafka, ClickHouse, Flink Preferred qualifications
- Experience with performing data analysis, data ingestion and data integration
- Experience with schema design and data modeling
- Experience with ETL (Extraction, Transformation & Loading) and architecting data systems
- Experience in writing, analyzing and debugging SQL queries
- Experience in data privacy and security related projects.
- Deep understanding of various Big Data technologies
- Passionate and self-motivated about technologies in the Big Data area
- Solid communication and collaboration skills

Required Skill Profession

Computer Occupations


  • Job Details

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Unlock Your Big Data Potential: Insight & Career Growth Guide


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

5198 Jobs in Singapore
5198
4740 Jobs in Singapore
4740
Download Big Data Jobs Trends in Singapore and Singapore

Are You Looking for Big Data Engineer Data Platform Job?

Great news! is currently hiring and seeking a Big Data Engineer Data Platform 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 TikTok 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 Big Data Engineer Data Platform 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 Big Data Engineer Data Platform?

Key qualifications for Big Data Engineer Data Platform 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 Big Data Engineer Data Platform Job Success

TikTok interview tips for Big Data Engineer   Data Platform

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

Before the Interview:

Research: Learn about the TikTok'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.

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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.

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Follow Up: Send a thank-you email to the interviewer within 24 hours.

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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 Big Data Engineer Data Platform interview at TikTok, 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 TikTok'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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