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Build and deploy enterprise-scale data pipelines and AI workflows on Google Cloud, focusing on Text-to-SQL, LLM evaluations, and synthetic data generation for large customers.
Customer Engineer specializing in Data Analytics on Google Cloud, designing architectures and MVPs to solve customer challenges and drive cloud adoption.
Build and maintain scalable data pipelines and backend services for wealth-management analytics using Python, Spark, SQL, and cloud platforms like Azure.
Build and maintain Databricks-based data pipelines and semantic layers, integrate BI/ERP systems, and apply GenAI tools to improve data platform productivity and reliability.
TRINITY CONSULTING SERVICES PTE. LTD. is seeking engineers with hands-on experience in infrastructure and platform engineering, systems administration, and data integration. The role focuses on APIs, ETL/ELT tooling,…
Lead data engineering teams to build and migrate data lakes, warehouses, and lakehouses using PySpark, Python, and cloud platforms like AWS/Azure/GCP.
Build and maintain scalable data pipelines on Databricks and AWS to power analytics and reporting for Singapore’s global network initiatives.
Senior Data Engineer builds and optimizes Azure/Fabric ETL pipelines and Lakehouse solutions for investment analytics, integrating market and portfolio data from APIs and file sources.
Maltem Asia is seeking a Data Engineer for our Investment Services client. Responsibilities: Design, build, and optimize scalable ETL/ELT pipelines using Microsoft Azure & Microsoft Fabric . Develop and maintain…
Lead the design and operation of enterprise-scale data pipelines and ETL/ELT processes, ensuring reliable analytics and data integrity for a product-focused team.
Design and build scalable data pipelines and architectures using AWS and Databricks, focusing on PySpark, Python, and SQL to enable advanced analytics and ETL workflows for enterprise clients.
Build and maintain data pipelines, analytics tools, and dashboards using SQL, Python, and BI platforms to deliver insights and support data-driven decisions.
Maltem Apac is looking for Data Engineer for one of our investment management client. Role: Senior Data Engineer Responsibilities Design, build, and optimize scalable ETL/ELT pipelines using Microsoft Azure and…
Designs and maintains scalable data pipelines, warehouses, and lakes using SQL, Python, and cloud platforms (Azure/AWS/GCP).
Key Responsibilities Design, develop, and maintain enterprise-scale ETL/ELT solutions on the Teradata Enterprise Data Warehouse (EDW) platform. Develop and optimize complex Teradata SQL, BTEQ, and shell-script…
Build and maintain ETL pipelines to integrate and clean data from databases and APIs, ensuring reliable data flows for analytics on cloud platforms like AWS or Azure.
Build and maintain ETL pipelines to move and transform enterprise data into analytics-ready datasets, then support Spotfire dashboards for business users.
Designs and maintains ETL/ELT pipelines and data warehouses for e-commerce and enterprise systems using Informatica, DBT, Redshift, and PostgreSQL.
Build and maintain scalable data pipelines and cloud analytics platforms using ETL/ELT workflows, SQL, and Python to support reporting and AI-driven use cases.
Design and maintain scalable data pipelines and ETL processes using SQL, Python, Databricks, and PySpark to deliver reliable, high-quality data solutions for analytics and reporting.
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