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Follow →Manpower Singapore is seeking a Data Engineer to design, develop, and maintain data solutions for data generation, collection, and processing. You will create data pipelines, ensure data quality, and implement ETL processes across systems.
You will collaborate with multiple teams, manage the data platform, and drive decisions while delivering scalable analytics, dashboards, and documentation for governance and insights.
Designs and maintains scalable data pipelines using SQL, Python, Databricks, and PySpark to ingest, transform, and integrate data while ensuring quality and governance.
Design and maintain data pipelines, ETL processes, and dashboards on Databricks using SQL, Python, and PySpark to ensure data quality and accessibility.
Builds scalable data pipelines on Databricks and AWS for a government agency, implementing medallion architectures and governance to support analytics and predictive modeling.
Design and maintain scalable data pipelines and integration solutions across cloud, on-premise, and hybrid environments while collaborating with data scientists and stakeholders.
Design and maintain Databricks-based data pipelines and ETL processes using SQL, Python, and PySpark to deliver clean, reliable data and dashboards for analytics and reporting.
Designs and builds scalable data pipelines, warehouses, and APIs to support HR analytics and backend systems for a Singapore-based HR tech company.