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Data Engineer maintaining and evolving PySpark/AWS data pipelines for a banking project, working 13:00–21:00 UTC-3 to cover Brazil, fully remote.
Build and migrate a modern data platform using Databricks, Spark, PySpark and SQL, leading anonymized Data Marts and ensuring data quality and compliance.
Lead a team of data scientists to measure, model, and forecast marketing investments for mobile games using AI, causal inference, and mobile marketing measurement techniques.
Build and optimize scalable data pipelines, ETL workflows, and cloud-based data warehouses to process large-scale marketing/media data for global brands.
Builds and optimizes data pipelines using PySpark, Azure Databricks, and SQL to process and store data in cloud environments like ADLS Gen2 and Oracle.
Lead a team building scalable data pipelines and warehouses on AWS, enabling self-service analytics with Python, SQL, and tools like Redshift and Airflow.
Design and lead enterprise-scale Data, AI, and Generative AI solutions for Malaysian enterprises and public-sector clients, including cloud-native architectures and MLOps/LLMOps pipelines.
Designs and optimizes large-scale data pipelines using Hadoop, PySpark, and Azure services like Databricks and Data Factory to process and transform data efficiently.
Builds and optimizes scalable data pipelines using Microsoft Fabric, Azure Data Factory, and PySpark to power real-time analytics and reporting for a semiconductor firm.
Designs and builds scalable data pipelines and lakehouse architectures using Azure Data Factory, PySpark, and SQL to enable analytics and compliance.
In this role as the Senior Data Engineering Executive, you will design, build and operate QL Group’s enterprise data platform on Microsoft Fabric, delivering reliable, high-quality data that powers analytics, AI, and…
Lead the design and maintenance of a scalable, AI-ready data platform using Azure tools, ensuring high-quality data pipelines and models for analytics and machine learning.
Design and build scalable data pipelines on Hadoop, Azure, and PySpark, then orchestrate and monitor them with Airflow and Kafka to deliver clean, reliable data products.
ITC Infotech in KL is seeking a Senior AWS Data Engineer for an on-site, client-facing role. You will lead architecture discussions, design end-to-end data pipelines, and translate business needs into scalable…
We are seeking a highly skilled and consultative Senior AWS Data Engineer to join our team for a high-impact, client-facing engagement. In this on-site role, you will act as a technical leader, partnering directly with…
Build and maintain scalable data infrastructure and ETL pipelines using Azure tools to support analytics and AI initiatives for IKEA’s retail operations in Malaysia.
Designs and builds enterprise data pipelines using Microsoft Fabric, Azure Synapse, and Spark to power analytics and AI workloads in a cloud data platform.
Senior Data Engineer builds and maintains Ryt Bank’s data platform to reliably ingest, process, and serve clean data for analytics and decision-making using Python, SQL, PySpark, and cloud data warehouses.
Build and optimize end-to-end data platforms using Microsoft Fabric, Azure Data Factory, and Power BI, then deliver AI-driven analytics and dashboards for enterprise customers across APAC.
Lead enterprise-scale data pipelines and AI integrations using Azure Databricks, PySpark, and SQL to build scalable lakehouse architectures and streaming workflows.
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