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This Data Engineer role involves maintaining and improving product recommendation and business churn prediction models, as well as developing commercial orchestration tools using Python, PySpark, and AWS SageMaker within the banking sector.
Data Engineer owning the full lifecycle of real-time pricing ML data pipelines, collaborating with Data Scientists and cross-functional teams using Python, SQL, Databricks, dbt, Airflow, and AWS.
Навыки: Python, Git, Docker, SQL. Квалификация: Senior. Специализации: ML разработчик. Роль: ML-инженер на создание рекомендательной системы Мы — холдинг, который создаёт сервисы нового уровня для крупных игроков…
This Is Us Ingenious Lion is a Digital Tech Hub designed exclusively for Publicis Groupe, one of the world's leading marketing agencies. As the marketing industry continues to drive digital transformation, Publicis…
Lead a team to design, build, and maintain data pipelines and AI systems for manufacturing and sustainability, using Python, Spark, dbt, and cloud platforms like Azure.
Over 50,000 customers globally trust our end-to-end, cloud-driven networking solutions. They rely on our top-rated services and support to accelerate their digital transformation efforts and deliver unprecedented…
The Senior Cloud Analytics Engineer will develop, operate, and optimize complex data pipelines and data products using Azure, Databricks, Python, and SQL. The role involves architectural consulting, ensuring data quality and governance, and collaborating within an agile team.
The Senior Data Scientist will design and deploy machine learning models within an agile squad, managing the full project lifecycle from exploration to production. The role requires strong technical skills in Python, AWS, and ML frameworks, alongside the ability to communicate complex findings to non-technical stakeholders.
Builds and optimizes a high-performance, scalable data lakehouse architecture with sub-minute latency, managing CDC pipelines, distributed query engines, and AI-driven workflows to support fintech payments and user analytics.
Senior Data Scientist building and automating ML/statistical models on large datasets to drive business insights for a crypto wealth platform, using SQL, Python, and PySpark.
Senior Data Engineer developing and managing data platforms in Azure and Microsoft Fabric, building ETL/ELT processes and Lakehouse architectures with SQL, PySpark, and Power BI in a DevOps team.
Design, build and maintain scalable ETL/ELT pipelines in Databricks on AWS, integrating SaaS platforms and implementing data quality and observability frameworks to power enterprise analytics and AI workloads.
Designs and develops PySpark data pipelines in Azure Synapse, integrates diverse data sources, and builds Power BI reports while ensuring secure, scalable data ingestion and workflow automation.
Leads design, development, and maintenance of large-scale Microsoft BI solutions (SQL Server, SSIS, Power BI) in enterprise environments, focusing on data warehousing, ETL pipelines, and analytical modeling for regulated industries like banking.
Designs and maintains scalable ETL/ELT pipelines using Python, PySpark, and SQL to transform and load data for analytics, reporting, and ML initiatives.
Job Information Work Experience 1-3 years Technology SGD 4000 -SGD 4500 City Singapore State/Province Central Singapore 079903 Job Description Data engineer (Azure) – Synapse and Pyspark, Python, Datawarehouse and…
Senior Data Scientist builds predictive models and analyzes media datasets to optimize customer behavior, retention, and content recommendations using Python, SQL, and ML tools.
Senior Data Engineer on a 12-month contract building and enhancing enterprise data and analytics solutions using Microsoft Fabric, Power BI, and Azure lakehouse architecture for a global investment management firm.
Builds scalable Python data pipelines and resolves complex data challenges on a platform integrating diverse data sources, with a focus on testing, CI/CD, and quality assurance in a small, collaborative team.
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