• Expertini Resume Scoring: Our Semantic Matching Algorithm evaluates your CV/Résumé before you apply for this job role.
Singapore Jobs Expertini

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


Job description

Overview
We are seeking a skilled and passionate Data Engineer to design, develop, and maintain data solutions that support Business Intelligence (BI) and Data Warehouse initiatives.

In this role, you will work closely with Product Owners, Project Managers, and cross-functional teams to build scalable and secure data engineering products.

You will play a key role in enabling data-driven decision-making across the organization through efficient data pipelines, integration of diverse data sources, and strong data governance practices.


Responsibilities
Collaborate with the Product Owner to develop, implement, and maintain data engineering products for BI and Data Warehouse projects.


Design, develop, and deploy data solutions, including data tables, views, marts, pipelines, data warehouses, operational data stores, data lakes, and data virtualization.


Perform data extraction, cleaning, transformation, and flow, including web scraping as required for data acquisition.


Build and maintain large-scale, reliable batch and real-time data pipelines using modern data processing frameworks.


Integrate and consolidate data silos into scalable and compliant systems.


Ensure adherence to quality processes and governance standards across the data product lifecycle, with a focus on production environment standards.


Implement and maintain data governance practices, ensuring compliance with security policies and regulatory requirements.


Work closely with Project Managers, Data Architects, Business Analysts, Frontend Developers, Designers, and Data Analysts to deliver scalable, data-driven products.


Develop backend APIs and work with databases to support applications.


Contribute to Agile development practices, including Continuous Integration and Delivery, pair programming, and code reviews.


Collaborate with business stakeholders to gather and analyse requirements, ensuring technical solutions align with business goals.


Support business users in developing front-end reports, dashboards, and visualizations to enhance data analysis capabilities.


Provide operational maintenance and technical support for deployed data engineering systems.


Manage incident response and service requests, ensuring timely resolution within established SLAs.
Participate in regular project audits and provide training support to team members and stakeholders as needed.


Knowledge and Skills
At least 5 years of experience as a Data Engineer.


Proficient in data cleaning and transformation using SQL, Python (or R), and related tools.


Strong experience in building ETL/ELT pipelines using SSIS, AWS DMS, Python, AWS Lambda, ECS, EventBridge, AWS Glue, or Spring.


Proficient in database design and management across multiple databases such as SQL, PostgreSQL, AWS S3, Athena, MongoDB, MySQL, SQLite, VoltDB, Cassandra, etc.


Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud.


Experience in big data environments and cloud-based data engineering solutions.


Proven experience in building production-grade data pipelines and integration workflows.


Strong understanding of system design, data structures, and algorithms.


Familiarity with data modelling, data storage solutions (Data Marts, Data Lakes, Data Virtualization, Data Warehouses) for optimal performance.


Working knowledge of REST APIs and web protocols.


Exposure to big data frameworks and tools (e.g., Hadoop, Spark, Kafka, RabbitMQ).


Experience with web scraping tools and frameworks (e.g., BeautifulSoup, CasperJS, PhantomJS, Selenium, Node.js).


Understanding of data governance policies, access control, and security best practices.


Proficiency in at least one scripting language (e.g., SQL, Python).


Comfortable working in both Windows and Linux development environments.


Strong interest in bridging engineering and analytics functions.


Excellent communication and collaboration skills, with the ability to work closely with stakeholders and technical teams.


Seniority level
Associate
Employment type
Full-time
Job function
Information Technology
Industries
IT Services and IT Consulting
#J-18808-Ljbffr

Required Skill Profession

Other General


  • Job Details

Related Jobs

Flintex Consulting Pte Ltd hiring Data Engineer Job in Singapore
Flintex Consulting Pte Ltd
Singapore
StarHub hiring Data Engineer Job in Singapore
StarHub
Singapore
PwC hiring Data Engineer Job in Singapore
PwC
Singapore
U3 hiring Data Engineer Job in singapore, singapore, singapore, singapore, Singapore
U3
singapore, singapore, singapore, singapore, Singapore
Tencent hiring Data Engineer Job in Singapore
Tencent
Singapore
Infosys Singapore & Australia hiring Data Engineer Job in singapore, singapore, sg, singapore, singapore, sg, Singapore
Infosys Singapore & Australia
singapore, singapore, sg, singapore, singapore, sg, Singapore
Flintex Consulting Pte Ltd hiring Data Engineer Job in Singapore
Flintex Consulting Pte Ltd
Singapore
Confidential hiring Data Engineer Job in Singapore
Confidential
Singapore
Synpulse Schweiz AG hiring Data Engineer Job in Singapore
Synpulse Schweiz AG
Singapore
Optiver hiring Data Engineer Job in Singapore
Optiver
Singapore
Unison Group hiring Data Engineer Job in Singapore
Unison Group
Singapore
Tower Research Capital hiring Data Engineer Job in Singapore
Tower Research Capital
Singapore
SP Group hiring Data Engineer Job in Singapore
SP Group
Singapore
Helius hiring Data Engineer Job in singapore, sg, singapore, sg, Singapore
Helius
singapore, sg, singapore, sg, Singapore
Virtusa hiring Data Engineer Job in Singapore
Virtusa
Singapore
Flintex Consulting Pte Ltd hiring Data Engineer Job in Singapore
Flintex Consulting Pte Ltd
Singapore
Kpler hiring Data Engineer Job in Singapore
Kpler
Singapore
U3 hiring Data engineer Job in singapore, singapore, singapore, singapore, Singapore
U3
singapore, singapore, singapore, singapore, Singapore
PSA Singapore hiring Data Engineer Job in Singapore
PSA Singapore
Singapore
Hays hiring Data Engineer Job in Singapore
Hays
Singapore
Seacare Manpower Services Pte Ltd hiring Data Engineer Job in Singapore
Seacare Manpower Services Pte Ltd
Singapore
Flintex Consulting Pte Ltd hiring Data Engineer Job in Singapore
Flintex Consulting Pte Ltd
Singapore
Flintex Consulting Pte Ltd hiring Data Engineer Job in Singapore
Flintex Consulting Pte Ltd
Singapore
Flintex Consulting Pte Ltd hiring Data Engineer Job in Singapore
Flintex Consulting Pte Ltd
Singapore
GOLDTECH RESOURCES PTE LTD hiring Data Engineer Job in Singapore
GOLDTECH RESOURCES PTE LTD
Singapore
Tencent hiring Data Engineer Job in Singapore
Tencent
Singapore
Summit Technical Solutions hiring Data Engineer Job in Singapore
Summit Technical Solutions
Singapore
PALO IT hiring Data Engineer Job in Singapore
PALO IT
Singapore
Epergne Solutions hiring Data Engineer Job in Singapore
Epergne Solutions
Singapore
Internal Security Department hiring Data Engineer Job in Singapore
Internal Security Department
Singapore
Tencent hiring Data Engineer Job in Singapore
Tencent
Singapore
PwC Singapore hiring Data Engineer Job in Singapore
PwC Singapore
Singapore
StarHub hiring Data Engineer Job in Singapore
StarHub
Singapore

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
28965 Jobs in Singapore
28965
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 HCLTech 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 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 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

HCLTech 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 HCLTech'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 HCLTech, 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 HCLTech'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!