Senior Data Engineer - Cloud Data Lakehouse & AI Platform

Housing & Development Board

Singapore

On-site

SGD 120,000 - 180,000

Full time

3 days ago
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Job summary

Housing & Development Board invites a skilled Data Systems Architect to shape our cloud-native data platform. You will design scalable data architectures on cloud platforms, lead Data Lakehouse initiatives, and collaborate with stakeholders to translate business needs into technical specifications.

Join a mission-driven team to enable evidence-based decision making, ensure robust ETL/ELT pipelines, implement automated data quality checks, and steer multi-cloud migration strategies while

Qualifications

  • Minimum 3 years of experience in data systems architecture and production pipelines.
  • Strong knowledge of cloud computing, IaC, containerisation, microservices and distributed systems.
  • Proven ability to translate business requirements into technical solutions.
  • Experience with SQL, Python and Apache Spark.
  • Hands-on experience with Apache Kafka, Airflow, or similar technologies.

Responsibilities

  • Design scalable data architectures on cloud data platforms with high availability.
  • Lead development of Data Lakehouse solutions.
  • Build and maintain ETL/ELT pipelines and optimize data workflows.
  • Implement data quality checks and monitoring for data integrity.
  • Lead cloud migration strategies and oversee multi-cloud environments.
  • Architect cloud-native Data & AI solutions aligned with business goals.

Skills

SQL
Python
Apache Spark
Apache Kafka
Airflow
Infrastructure as Code
Multi-cloud
MLOps
DataOps
Cloud security

Education

Bachelor’s degree in Computer Science/IT/Engineering

Tools

AWS
SageMaker
S3
Glue
Lake Formation
Terraform
Kubernetes
CI/CD

Job description

Housing & Development Board invites a skilled Data Systems Architect to shape our cloud-native data platform. You will design scalable data architectures on cloud platforms, lead Data Lakehouse initiatives, and collaborate with stakeholders to translate business needs into technical specifications.

Join a mission-driven team to enable evidence-based decision making, ensure robust ETL/ELT pipelines, implement automated data quality checks, and steer multi-cloud migration strategies while

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