Data Engineer
Summary
Design and build scalable cloud data platforms, ETL/ELT pipelines, and lakehouse solutions using Python, Spark, Kafka, and Airflow to support enterprise AI initiatives.
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 (HIDDEN TEXT) 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