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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)
Design and build cloud-based data pipelines and warehouses using AWS, Databricks, and Informatica to support healthcare analytics and reporting.
Databricks Data Engineer | Contract
Design and maintain scalable data pipelines on Databricks using PySpark and SQL, ensuring data quality and compliance with IM8 standards while building dashboards for analytics.
Data Engineer — ML Pipelines & Analytics (Azure)
Build and maintain Azure-based data pipelines and ML models using Python, Java, SQL, and Azure Databricks to support analytics and predictive tasks.
Data Engineer (ACRA)
Design and build Singapore’s government-wide data infrastructure, including Databricks-based Lakehouse pipelines and governance tooling, to securely share and derive value from public-sector data.
Data Engineer (Databricks)
Design and build scalable data pipelines on Databricks for a government client, ensuring data integrity and availability while supporting users with training and troubleshooting.
Senior Data Engineer
Designs and builds scalable data pipelines, warehouses, and Lakehouse solutions for smart-factory analytics, integrating IIoT sensor data and enterprise systems using Python, Spark, and cloud platforms.
Lead Data Engineer
Lead a team to design and build scalable data pipelines and enterprise data platforms using Databricks, Spark, and cloud services.
Cloud Data Engineer
Designs and maintains cloud data infrastructure on AWS and Databricks, building ETL pipelines and optimizing storage/processing for analytics using Python/Java/Scala.
Data Engineer
Design and maintain scalable data pipelines, ETL/ELT processes, and cloud-based data warehouses using Spark, SQL, and cloud platforms like AWS/Azure/GCP.
Senior Consultant - Data Engineer (AI & ML Data Platforms)
Design and deliver enterprise-scale AI-enabled data platforms, lead engineering teams, and implement cloud-based ML pipelines for clients using AWS, Azure, GCP, Snowflake, and Databricks.
Databricks Data Engineer
Build and optimize scalable data pipelines on Databricks using Spark and Delta Lake, implementing ETL/ELT processes and ensuring data quality for analytics and compliance.
Data Engineer: Scalable Pipelines & AI (Databricks/AWS)
Builds scalable data pipelines on Databricks and AWS for a government agency, implementing medallion architectures and governance to support analytics and predictive modeling.
Senior / Data Engineer (AGC)
Build and maintain AWS-based data pipelines and cloud infrastructure for Singapore’s legal sector, consolidating datasets and preparing data for AI-powered tools like LLMs.
Data Engineer, GDT (ESG)
Design and maintain data pipelines and warehouses to power analytics and AI for Singapore’s public sector, using cloud platforms and distributed systems.
Data Engineer (GeBIZ X)
Build and scale enterprise-grade data pipelines and platforms for GeBIZ X, a government procurement product, while driving AI-enabled analytics and ensuring data governance.
Data & AI Platform Engineer- #AIDA
Build and maintain data pipelines using PySpark, SQL, Databricks, and Kafka to feed analytics and GenAI systems, while assisting with RAG implementations.
AVP/VP, Data Engineer, Technology Group
Lead data engineering projects to build and maintain investment data platforms using Python, PySpark, AWS, and Databricks, enabling analytics and AI-driven insights for a sovereign wealth fund.
Senior Azure Data Engineer - Databricks & Data Pipelines
Designs and builds scalable Azure data pipelines using Databricks and Data Factory, writes PySpark/SQL code, and ensures data quality and migration in a fast-paced environment.
Senior Data Engineering
Build and own a Databricks Lakehouse data warehouse and real-time pipelines for a financial trading business, modeling customer, order, trade, and market data with Kafka, Flink, and Spark.