Data Engineer

looking for an experienced Data Engineer to design, build and optimise scalable cloud-based data platforms that support enterprise data and AI initiatives. You will work on modern data architectures, develop robust data pipelines, and contribute to cloud-native data platform solutions.

Key Responsibilities

• Design and implement scalable cloud-based data platforms and architectures.

• Build, maintain and optimise ETL/ELT data pipelines for performance and reliability.

• Develop Data Lakehouse solutions and ensure data quality through automated monitoring.

• Translate business requirements into technical solutions and system architecture.

• Support cloud platform operations using Infrastructure as Code (Terraform) and cloud-native services.

• Ensure compliance with security, governance and data management standards.

• Collaborate with cross-functional stakeholders and provide technical guidance to junior team members.

• Contribute to data platform architecture reviews and continuous improvement initiatives.

Requirements

• Bachelor's Degree in Computer Science, Information Technology, Computer Engineering or a related discipline.

• At least 4 years of experience in data engineering, data architecture or cloud data platform implementation.

• Hands-on experience with SQL, Python and Apache Spark.

• Experience building production-scale ETL/ELT pipelines and cloud-based data solutions.

• Familiarity with technologies such as Apache Kafka, Apache Airflow or similar tools.

• Good understanding of cloud architecture, Infrastructure as Code, containerisation, distributed systems and cloud security principles.

• Strong analytical, problem-solving and communication skills.

Preferred Qualifications

• Experience with AWS cloud services and related certifications.

• Exposure to Data Lakehouse, DataOps, MLOps or AI platform technologies.

• Experience with services such as AWS Glue, S3, Lake Formation, Amazon SageMaker or AWS Bedrock.

• Knowledge of data governance, metadata management and business intelligence tools.

Interested candidates are encouraged to submit their resumes along with a cover letter outlining their relevant experience and achievements to [email protected] or click apply now! **We regret to inform that only shortlisted candidates would be notified** EA License No: 04C3537 EA Personnel No: R22106683 EA Personnel Name: Yang Hui Shan, Sherri