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Senior Data Engineer – Singapore
Design and implement scalable cloud data architectures, lead Data Lakehouse development, and build ETL/ELT pipelines using Python, SQL, and Spark for a government-linked AI platform.
Snowflake Data Engineer – ELT & Data Warehouse
Build and maintain cloud-native data pipelines and Snowflake-based data warehouse for a fintech client, using ELT and dimensional modeling to deliver analytics-ready data.
Senior Data Engineer
Architect and maintain scalable data pipelines and warehouses (Snowflake, Redshift, Athena) to power analytics and AI workflows, using Python, SQL, Airflow, and Kafka.
Senior Data Engineer
Build and maintain scalable data pipelines, ETL workflows, and APIs in AWS to support analytics and applications, using SQL, Python, and big-data tools.
Azure Data Engineer
Build and maintain scalable Azure data pipelines using Databricks, PySpark, and Azure Data Factory to move and validate large datasets reliably.
Databricks Data Engineer: Scale Pipelines & Lakehouse
Build and optimize scalable data pipelines on Databricks using Apache Spark, collaborating with data scientists to implement ETL/ELT processes and ensure data quality.
Data Engineer (Cloud & Analytics Platform)
Design and maintain cloud-based data pipelines and analytics platforms on Microsoft Azure, integrating AI/ML workflows and ensuring data quality and governance.
Senior Data Engineer
Design and build scalable cloud data pipelines and lakehouse architectures using Python, Spark, Kafka, and AWS services to power AI/ML platforms.
Senior Data Engineer
Design and build scalable cloud-native data pipelines and lakehouse architectures for a government housing authority, using Python, Spark, Kafka, and AWS services.
Senior Data Engineer
Design and build scalable cloud-native data pipelines and lakehouse architectures for a government housing agency, using Python, Spark, Kafka, and AWS services.
Databricks Data Engineer
Build and optimize scalable data pipelines on Databricks using PySpark, Delta Lake, and cloud platforms, refactoring legacy systems to modern ELT patterns.
Data Engineer- Databricks
Build and optimize data pipelines using PySpark and Databricks, implementing lakehouse architectures and Delta Lake features for scalable, reliable data processing.
Lead Big Data Engineer
Lead a team to design and build scalable cloud-native data pipelines using Python, SQL, AWS, and Terraform, while mentoring engineers and enforcing data governance.
Senior Data Engineer
Design and build scalable on-premise data pipelines and lakehouse solutions using Python, PySpark, and SQL Server to power data-driven decisions across a global banking group.
Senior Data Engineer
Senior Data Engineer builds and maintains on-premise data pipelines and lakehouse solutions using Python, PySpark, SQL Server, and Kubernetes to enable data-driven decisions across a global banking group.
Principal Data Engineer
Principal Data Engineer designs and builds cloud-native data pipelines and curated datasets on AWS and Snowflake to enable trusted, self-service analytics across business domains.
Senior Data Engineer: Cloud Lakehouse & AI Platform Lead
Designs and leads a cloud-based lakehouse platform for Singapore’s public housing authority, building scalable data pipelines and ensuring governance for AI-driven policy and service improvements.
Senior Data Engineer
Design and build scalable data pipelines and cloud-based data platforms to power AI and analytics initiatives using AWS, Spark, and modern orchestration tools.
Senior Data Engineer | Enterprise Data | AI
Designs and builds scalable data pipelines and platforms on AWS to power enterprise analytics and AI initiatives using Python, Spark, and modern cloud tools.
Data Engineer (Cloud Data Platform & AI)
Design and build cloud-scale data platforms and pipelines for a public-sector AI initiative, using Python, Spark, Kafka, and IaC tools like Terraform.