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Lead/Senior Software Engineer building and maintaining Singapore’s government-wide data infrastructure, including cloud-based pipelines, APIs, and observability systems using DevOps and distributed computing tools.
Build and scale the data infrastructure that powers LLM training, fine-tuning, evaluation, and RAG systems using cloud tools like AWS Glue, EMR, and Kubernetes.
Build and optimize data pipelines and architectures using AWS, SQL, and big data tools to support analytics and product teams.
Build and maintain scalable data pipelines, AI/ML Ops, and full-stack platforms for a global bank, ensuring data quality, governance, and security across hybrid cloud architectures.
Designs and maintains scalable data pipelines, warehouses, and lakes using SQL, Python, and cloud platforms (Azure/AWS/GCP).
Designs and maintains ETL/ELT pipelines and data warehouses for e-commerce and enterprise systems using Informatica, DBT, Redshift, and PostgreSQL.
Senior data engineer builds and maintains Databricks-based data warehouse and real-time pipelines for a financial trading business, modeling trades, positions, and market data.
Lead a small team to design, build, and scale cloud-based data pipelines and platforms using Python, SQL, and tools like Airflow, Spark, and Snowflake for reliable, ML-ready data.
Build and maintain full-stack data infrastructure for Singapore’s education sector, integrating cloud services, ETL pipelines, and analytics tools to support AI-driven digital transformation.
Design and maintain CI/CD pipelines with GitLab and AWS, automate cloud infrastructure using Terraform/CloudFormation, and orchestrate Docker/Kubernetes deployments while monitoring with Prometheus/Grafana.
Design and deploy AI-driven systems and automation workflows for cybersecurity and smart infrastructure, using Python, TensorFlow/PyTorch, and cloud services.
Designs and optimizes cooling systems for data centres, ensuring reliability and energy efficiency across the asset lifecycle.
Designs and runs automated tests for data pipelines, APIs, and dashboards to ensure reports and metrics are accurate before they reach users.
Senior QA Engineer owns data correctness for analytics pipelines, warehouse models, and reports, validating metrics against raw sources and automating quality checks with SQL and tools like Soda and Playwright.
Build and maintain ETL/ELT pipelines and data processing systems using Python, SQL, Apache Airflow, and dbt.
Design and optimize scalable data pipelines using Python, Spark, Airflow, and GCP for a fintech company.
Build and maintain ETL pipelines using Python, SQL, Apache Airflow, and dbt to ensure reliable data quality for a global presentation software company.
Designs and maintains data pipelines, warehouses, and lakes, ensuring data quality and performance while collaborating with analysts and engineers.
Build and maintain big-data pipelines and platforms for a global bank, using Spark/Scala, Kafka, Airflow, and cloud storage to ingest and transform financial data.
Design and maintain scalable data pipelines and enterprise data warehouses using AWS Glue, PySpark, and Informatica to ingest, transform, and deliver clean data for analytics across Schneider Electric’s global operations.
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