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Introduction Ahold Delhaize USA, a division of global food retailer Ahold Delhaize, is part of the U.S. family of brands, which also includes five leading omnichannel grocery brands – Food Lion, Giant Food, The GIANT…
Build and maintain scalable data pipelines, lakes, and real-time streaming systems to power trading analytics, ML, and fintech products using GCP, AWS, dbt, and Airflow.
Develop scalable ETL/ELT pipelines, Lakehouse models, and Data Warehouse solutions using Python, Azure, and Fabric, while creating interactive Power BI dashboards to drive business improvements.
Develop AI-powered solutions for managing lower respiratory tract infections using NLP, Python, and transformer models. Contribute to LLM development and integrate advanced models to process clinical data effectively.
AVP role leading data-driven risk management for OCBC bank, using SQL, Python and PowerBI to analyze technology risks and ensure regulatory compliance across financial systems.
Develop and fine-tune Large Language Models for processing clinical text to aid in respiratory infection treatment. Work involves Python, PyTorch, and RAG pipelines to build explainable AI recommendations.
Design and build scalable data pipelines and platforms using Databricks, Python, and Spark on public clouds. Deliver data analytics solutions and AI integrations within a consulting environment, translating business requirements into technical designs.
The client is a Singapore-based data consultancy seeking a hands-on Senior Data Engineer to support the delivery of complex data-platform projects. This is an initial six-month contract. An extension may be considered…
Build and maintain petabyte-scale data infrastructure for a genomics AI factory, managing AWS IaC, data ingestion pipelines, and hybrid cloud synchronization to support cancer research.
Design and maintain scalable data pipelines, ETL processes, and warehouses for real-time and batch processing using big data technologies, Python, and SQL.
Design scalable data architectures and build high-performance data pipelines. Lead cloud-native Data & AI solutions, migrate to multi-cloud environments, and mentor junior engineers while ensuring data governance and security.
Design, develop, and optimize large-scale data pipelines using Hadoop and Spark within a data lake architecture. Collaborate with data scientists to ingest, transform, and load banking data using SQL/NoSQL stores.
Develops and maintains data platforms, pipelines, and governance frameworks for a bank. Uses Python, SQL, cloud infrastructure (AWS/GCP), and BI tools for asset management data solutions.
Design and maintain end-to-end data projects, ETL processes, and enterprise systems like data lakes and AI platforms using big data and cloud technologies.
Build and optimize offline and real-time data pipelines using Hadoop, Hive, Flink, and Kafka for a leading crypto exchange to support product data development and business intelligence.
Design, build, and modernize cloud-native data pipelines, streaming systems, and data lakehouse solutions using Spark, Iceberg, and Python for a leading bank.
Build and optimize real-time and offline data pipelines using Flink, Hadoop, and Kafka for a crypto exchange. Focus on data warehouse modeling and big data architecture design to support business intelligence.
Designs, builds, and operates cloud-native data platforms and pipelines using AWS, Spark, and Python to support analytics and decision-making at OCBC.
Data Engineer contract role focused on developing backend software for data pipelines and algorithmic services in a clinical product, with emphasis on unit testing, data archiving, and analytics delivery. Core technologies include Python, Django, FastAPI, PostgreSQL, AWS, and Docker.
Responsible for building and optimizing data pipelines, ensuring data accuracy and timeliness using big data technologies.
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