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Senior Data Engineer - Informatica & Spark ETL
Designs and maintains ETL workflows and data pipelines using Informatica PowerCenter, Spark, and SQL for enterprise systems.
Graph Data Engineer (Neo4j) - Fraud & AML Analytics
Builds Neo4j graph models for banking fraud/AML, implements GDS workflows, and creates real-time dashboards for risk teams using Python ETL.
Senior Data Engineer - PySpark, Databricks & SQL
Build and optimize PySpark/Databricks data pipelines and SQL queries to transform raw data into clean, governed datasets for analytics and dashboards in a government-focused tech environment.
Senior/Staff Data Engineer, Analytics and Reporting
Build and maintain analytics-ready data marts and pipelines for a crypto exchange, using SQL, Spark, and cloud tools to power business decisions and product improvements.
Senior/Staff Data Engineer, Risk Control
Build and maintain data warehouse and pipelines for a crypto exchange’s risk-control domain, enabling real-time metrics and reporting with big-data tools like Spark and Alibaba Cloud.
Senior Data Engineer (Reporting and Analytics Developer)
Build and optimize data pipelines and analytics models using SQL, Python, PySpark, and Cloudera; create reports with Tableau and support production systems.
T&T Consultant - Engineering - Data Engineer - SG
Build and maintain scalable data pipelines, ETL/ELT workflows, and cloud-based data warehouses using SQL, Python, and AWS/GCP tools to support analytics and backend services.
Senior Data Engineer: Databricks ETL & Dashboards (Singapore)
Designs and builds scalable ETL pipelines on Databricks, writes SQL for data prep, and creates automated reports/dashboards in Power BI/Tableau/Looker for analytics.
Data Engineer, Enterprise Data Hub | 2-Year Contract
Designs and builds secure, scalable data pipelines and Lakehouse systems for government agencies using Delta Lake, focusing on governance, security, and analytics.
Azure Data Engineer: Synapse, PySpark & Power BI
Builds and optimizes PySpark data pipelines on Azure Synapse, orchestrates ETL workflows, and creates Power BI dashboards with row-level security for on-prem, API, and IoT data sources.
First VP, Senior Data Engineer, Group Technology & Ops
Build and maintain enterprise-scale data platforms (Lakehouse, Kafka, Spark) and AI-ready data products for a major bank, focusing on ingestion, governance, and real-time analytics.
T&T Senior Consultant - Engineering - Data Engineer - SG
Senior Data Engineer at Deloitte SG builds and maintains scalable ETL pipelines, data warehouses, and APIs using cloud platforms (AWS/Azure/GCP) and big-data tools (Spark, Kafka) to integrate and transform client data for analytics.
Data Engineer (AWS Cloud Platform, Big Data)
Build and maintain cloud-native data platforms and pipelines on AWS, using Python, Spark, Kafka, and Terraform to enable scalable analytics and AI/ML workloads.
Data Architect (AI)
Design and optimize a high-performance data platform to power analytics, dashboards, and AI models, leveraging AWS tools like Redshift, Glue, and SageMaker.
AI Data Architect
Designs and builds the AI data foundation—hybrid vector and knowledge graph layers—for RAG systems across Kuok Group, including embedding pipelines, retrieval patterns, and data governance.
GCP Data Engineer & Cloud Automation Lead
Designs and automates Google Cloud data pipelines using Python, BigQuery, Terraform, and CI/CD to migrate systems and build scalable warehousing and ETL solutions.
Senior Data Engineer - Databricks & AWS Expert
Build and optimize ETL pipelines on Databricks and AWS, migrate enterprise data platforms, and ensure production stability for a Singapore-based tech company.
Data Engineer (6 months, Bank) #ESY
Data Engineer builds and migrates SQL-based reporting pipelines for a bank, replacing legacy data marts with Hive/Impala and validating accuracy.
Senior Data Engineer: Informatica ETL & Big Data
Designs and maintains ETL workflows using Python, Spark, Hive, and HDFS, optimizing SQL across Oracle, Teradata, or SQL Server.
Data Engineering Lead: Scalable ETL & Data Quality
Lead the design and maintenance of scalable ETL pipelines and data quality processes for a large insurance data ecosystem using Hadoop, Spark, and Hive.