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Designs and implements data pipelines, ETL processes, and reporting solutions to meet analytical needs using Python, PySpark, and big data tools like Cloudera. Focuses on automation, data modeling, and troubleshooting for government/authority data systems.
Designs, builds, and maintains scalable data pipelines and ETL/ELT workflows on AWS using Python, PySpark, AWS Glue, and Lambda. Manages cloud infrastructure with Terraform and ensures CI/CD pipelines, monitoring, and security compliance.
Senior Data Engineer designing and maintaining a large-scale Weather Data Lakehouse platform, building cloud-based data pipelines for ingestion, transformation, and processing to support analytics and AI/ML workloads.
Lead data platform engineering and SRE for SGX's enterprise data platform across cloud and on-prem environments, ensuring scalability, reliability, and security while leveraging AI-assisted engineering and automation.
Designs and maintains an AWS Data Lake and Lakehouse platform, focusing on data ingestion, transformation, storage, security, and governance to ensure scalable, reliable, and cost-efficient data pipelines.
Lead day-to-day BAU data engineering operations and production support for a Singapore-based insurance company, focusing on AWS and Snowflake data platforms, pipeline development, and data migration.
Design and maintain scalable ETL/ELT pipelines and APIs on AWS and Snowflake to support stablecoin-powered payment and corporate card products.
Builds and maintains data pipelines/ETL processes to integrate and transform enterprise data for analytics, ensuring quality and efficiency in a consulting environment.
Design, implement, and manage scalable enterprise data platforms (real-time and batch) for a major industrial/automation multinational's regional Data/AI HQ in Singapore, owning the end-to-end data lifecycle.
The Senior Data Engineer will design and maintain scalable data pipelines, ETL processes, and data services across hybrid environments. The role involves collaborating with stakeholders to support analytics and MDM initiatives using technologies like Spark, Kafka, and cloud data platforms.
Build and modernize scalable Python backend services and data ingestion pipelines on a large-scale enterprise data platform using Python, SQL, Snowflake, and Databricks.
Designs, builds, and maintains SGX’s enterprise data platform (cloud/on-premise) to ensure scalability, reliability, and security. Focuses on data platform engineering, SRE, automation, and AI-assisted operational excellence to support financial market infrastructure.
Lead the design, operation, and improvement of SGX's enterprise data platform across cloud and on-prem environments, spanning data engineering, SRE, and platform automation to deliver trusted data services.
Builds and maintains scalable ETL pipelines, data warehousing, and internal reporting tools for a fintech company’s finance team, ensuring high-volume operational data is transformed into reliable, analysis-ready insights.
Builds and maintains data infrastructure for analytics, optimizing SQL/Big Data platforms for performance, security, and availability while collaborating with data teams.
Data platform engineer supporting analytics on SQL and Big Data technologies, collaborating with Data Scientists, Analysts, and Developers to optimize data use and manage infrastructure for performance, availability, and security.
Build and secure AWS-based data lakehouse pipelines for a government client, using Glue, Redshift, Lambda, and Lake Formation.
Data Engineer on GCP designing, building, and optimizing scalable data solutions, ETL/ELT pipelines, and Power BI dashboards using BigQuery, Dataflow, and Dataproc in Singapore.
Data Engineer building and optimizing data pipelines, ETL processes, and storage solutions on AWS, Databricks, and Informatica IDMC for a Singapore-based company.
Design and build data pipelines for smart-factory use cases, ensuring reliability and performance while translating business needs into technical specs.
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