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Data Engineer Job Opening In Singapore, Singapore – Now Hiring HORIZON COMPUTER MANAGEMENT PTE. LTD.


Job description

Key Responsibilities

  • Design, build, and maintain robust, scalable, and secure data pipelines for batch and real-time data processing.

  • Develop and optimize ETL/ELT workflows to extract, transform, and load data from multiple sources.

  • Architect and implement data warehouses, data lakes, and lakehouse solutions on cloud or on-prem platforms.

  • Ensure data quality, lineage, governance, and versioning using metadata management tools.

  • Collaborate with Data Scientists, Analysts, and Software Engineers to deliver reliable and accessible data solutions.

  • Optimize SQL queries, data models, and storage layers for performance and cost efficiency.

  • Develop and maintain automation scripts for data ingestion, transformation, and orchestration.

  • Integrate and process large-scale data from APIs, flat files, streaming services, and legacy systems.

  • Implement data security, access control, and compliance standards (GDPR, ISO
  • Monitor and troubleshoot data pipeline failures, latency, and performance bottlenecks .

Data Engineering & Architecture

  • Strong expertise in data modeling (dimensional/star/snowflake schemas) and data normalization techniques .

  • Proficient in ETL/ELT tools such as Apache NiFi, Talend, Informatica, SSIS, or Airbyte .

  • Advanced knowledge of SQL and distributed computing concepts .

  • Experience with data lake and warehouse technologies such as Snowflake, Redshift, BigQuery, Azure Synapse, or Databricks .

  • Deep understanding of data partitioning, indexing, and query optimization .

Big Data & Distributed Systems

  • Hands-on experience with Hadoop ecosystem (HDFS, Hive, HBase, Oozie, Sqoop) .

  • Proficiency in Apache Spark / PySpark for distributed data processing.

  • Exposure to streaming frameworks like Kafka, Flink, or Kinesis .

  • Familiarity with NoSQL databases such as MongoDB, Cassandra, or Elasticsearch .

  • Knowledge of data versioning and catalog systems (e.g., Delta Lake, Apache Hudi, Iceberg, or AWS Glue Data Catalog).

Programming & Automation

  • Strong programming skills in Python , Scala , or Java for data manipulation and ETL automation.

  • Experience with API integration, REST/GraphQL, and data serialization formats (JSON, Parquet, Avro, ORC).

  • Proficient in shell scripting, automation, and orchestration tools (Apache Airflow, Prefect, or Luigi).

Cloud Platforms

  • Expertise in at least one cloud ecosystem:

AWS: S3, Redshift, Glue, EMR, Lambda, Athena, Kinesis

Azure: Data Factory, Synapse, Blob Storage, Databricks

GCP: BigQuery, Dataflow, Pub/Sub, Cloud Composer
- Strong understanding of IAM, VPC, encryption, and data access policies within cloud environments.

Data Governance & Security

  • Implement and enforce data quality frameworks (DQ checks, profiling, validation rules) .

  • Knowledge of metadata management, lineage tracking , and master data management (MDM) .

  • Familiarity with role-based access control (RBAC) and data encryption mechanisms.

Preferred Skills

  • Experience with machine learning data pipelines (ML Ops) or feature store management .

  • Knowledge of containerization and orchestration tools (Docker, Kubernetes).

  • Familiarity with CI/CD pipelines for data deployment.

  • Exposure to business intelligence (BI) tools like Power BI, Tableau, or Looker for data delivery.

  • Understanding of data mesh or domain-driven data architecture principles .

Leadership & Collaboration

  • Work closely with cross-functional teams to define data requirements and best practices.

  • Mentor junior engineers and enforce coding and documentation standards .

  • Provide technical input in data strategy, architecture reviews, and technology evaluations .

  • Collaborate with security and compliance teams to ensure data integrity and protection.

Qualifications

  • Bachelor's or Master's Degree in Computer Science, Data Engineering, Information Systems, or related field.

  • 5–10 years of professional experience as a Data Engineer or similar role.

  • Professional Certifications preferred:

AWS Certified Data Analytics / Big Data Specialty
Microsoft Certified: Azure Data Engineer Associate
Google Professional Data Engineer
Databricks Certified Data Engineer

Required Skill Profession

Other General


  • 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 HORIZON COMPUTER MANAGEMENT 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 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

HORIZON COMPUTER MANAGEMENT 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 HORIZON COMPUTER MANAGEMENT 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 HORIZON COMPUTER MANAGEMENT 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 HORIZON COMPUTER MANAGEMENT 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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