Data Engineer

GOLDTECH RESOURCES PTE LTD; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

A leading technology firm in Singapore is seeking a skilled Data Engineer to design, build, and maintain scalable data pipelines and architectures. The ideal candidate will have strong experience with big data technologies, ETL processes, and cloud platforms. Responsibilities include creating data architectures, collaborating with data scientists, and ensuring data integrity. A Bachelor's degree and at least 3 years of data engineering experience are required.

Qualifications

• 3+ years of experience in data engineering or related roles.
• Hands-on experience with big data technologies such as Hadoop, Spark, Kafka.
• Knowledge of data governance, security, and compliance best practices.

Responsibilities

• Develop, construct, test, and maintain data architectures and pipelines.
• Design and optimize ETL workflows.
• Collaborate with data scientists and business stakeholders.

Skills

SQL

Python

Spark

Hadoop

Communication skills

Problem-solving

Education

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

Tools

AWS

Azure

GCP

Airflow

Docker

Kubernetes

Job description

Overview

We are seeking a skilled Data Engineer to design, build, and maintain scalable data pipelines and architectures that support business analytics, reporting and machine learning initiatives. The ideal candidate will have strong experience with big data technologies, ETL processes and cloud platforms.

Responsibilities

• Develop, construct, test, and maintain data architectures and pipelines.
• Design and optimize ETL workflows to ingest data from various sources.
• Collaborate with data scientists, analysts and business stakeholders to understand data needs.
• Ensure data quality, integrity and security across platforms.
• Monitor and troubleshoot data processing issues.
• Implement data modeling and warehousing solutions.
• Automate repetitive data engineering tasks and optimize system performance.
• Maintain documentation of data processes and systems.

Requirements

• Bachelor’s degree in Computer Science, Engineering, Information Systems or related field.
• 3+ years of experience in data engineering or related roles.
• Strong proficiency in SQL and experience with programming languages such as Python, Scala or Java.
• Hands-on experience with big data technologies such as Hadoop, Spark, Kafka or similar.
• Experience with cloud platforms (AWS, Azure, GCP) and their data services (Redshift, BigQuery, Data Factory, etc.).
• Familiarity with data warehousing concepts and tools.
• Knowledge of data governance, security, and compliance best practices.
• Excellent problem-solving and communication skills.

Preferred Skills

• Experience with workflow orchestration tools like Airflow or Luigi.
• Knowledge of containerization and orchestration (Docker, Kubernetes).
• Familiarity with CI/CD pipelines and DevOps practices.
• Experience in machine learning pipeline integration is a plus.

Application Instructions

Please send your detailed resume in MS Word format to [e-mail] with

• Education Level
• Working experiences
• Each employment background
• Reason for leaving each employment
• Last drawn salary
• Expected salary
• Date of availability