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Builds and optimizes data pipelines, storage systems, and analytics platforms using Python, Spark, SQL, and cloud tools (AWS/Snowflake) to enable real-time insights and predictive modeling for a global financial services firm.
Build and own end-to-end data pipelines and warehouses for banking risk systems using SQL, Python, Oracle, Snowflake, dbt and Airflow.
Builds and owns scalable microservices in Java (Spring Boot) and Node.js, and develops React frontends deployed on cloud platforms (Azure/AWS/GCP).
Build and maintain scalable data pipelines and cloud infrastructure in GCP to support analytics, ML, and real-time personalization at a large retail company.
About The Team Shopee will be prioritizing applicants who have a current right to work in Singapore , and do not require Shopee sponsorship of a visa . Kindly note that you can only be considered in one recruitment…
Build and maintain data pipelines and warehouses for a global investment firm, enabling investment teams to extract insights from diverse data sources using Python, SQL, and cloud platforms like AWS/Azure.
Designs, builds, and optimizes scalable cloud data pipelines and warehouses using SQL, Python, and AWS/Azure/GCP for reliable analytics and reporting.
Builds and maintains scalable data pipelines, warehouses, and APIs to extract, transform, and integrate data across systems, ensuring accuracy and compliance while collaborating with cross-functional teams in an Agile environment.
Build and maintain scalable data pipelines, ETL processes, and data warehouses using cloud tools like AWS and Python, while collaborating with cross-functional teams to deliver data-driven products.
Build and maintain scalable data pipelines, ETL processes, and data warehouses using cloud tools (AWS, Azure, GCP) and SQL/Python to integrate and clean data for analytics.
Designs and maintains scalable data pipelines and warehouses for mission-critical systems, integrating real-time and batch data with Java, Python, Spark, and SQL.
Build and own a structured research data platform for investment teams, ingesting and parsing documents (PDF, HTML, XBRL) and deploying LLM-powered query APIs on cloud data warehouses.
Key Responsibilities Design, develop, and optimize scalable ETL/ELT pipelines to ingest, transform, and integrate data from multiple source systems. Build and maintain cloud-based data platforms, data lakes, and data…
About Hytech Hytech is a leading management consulting firm headquartered in Australia and Singapore, specialising in digital transformation for fintech and financial services companies. We provide comprehensive…
Job Overview: We are looking for a talented and motivated Data Engineer with 2–3 years of experience to join our team. The ideal candidate will have hands-on experience in building and maintaining data pipelines,…
Designs and runs tests for data pipelines and Snowflake data warehouse to ensure accuracy and consistency of enterprise data platforms.
Designs and runs tests for data pipelines and validates Snowflake data warehouses to ensure enterprise data accuracy and reliability.
Builds and maintains scalable data pipelines on Google Cloud Platform using BigQuery and Airflow, integrating diverse data sources, implementing CI/CD, and collaborating with analytics/product teams to ensure high-quality data solutions.
Senior Data Engineer builds and maintains scalable data pipelines, ETL processes, and cloud-based data platforms (Azure, Databricks, Snowflake) to support Heineken’s global operations and analytics.
Build and optimize data pipelines for a UK automotive marketing platform, migrating legacy systems to modern cloud warehouses (Redshift/Snowflake) using dbt, Python, and Airflow.
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