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The Lead Data and AI Solution Engineer will oversee the deployment, automation, and governance of GenAI and Agentic AI pipelines. The role focuses on optimizing operational processes, monitoring performance, and ensuring scalable, compliant AI services using frameworks like LangChain and various cloud platforms.
EXEO Global Pte.Ltd. is seeking an Assistant Project Engineer / Project Engineer to support ongoing Data Centre Projects in Malaysia, with current sites in Johor Bahru. The successful candidate will travel regularly…
The Senior Data Center Network Engineer will manage complex data center network infrastructure projects, including migrations and security-focused networking, while working in a hybrid capacity in Manila. The role requires deep expertise in Cisco technologies, routing, switching, and firewalls.
A Data Engineer building and modernizing cloud data pipelines, migrating legacy ETL workflows, and implementing Delta Lake medallion architecture using AWS, Databricks, Informatica, PySpark, and SQL.
The Cloud Data Engineer will design and maintain scalable data pipelines and cloud-based platforms on Azure to support analytics and AI/ML initiatives. The role involves developing ETL/ELT processes, creating Power BI dashboards, and collaborating with data scientists to deploy models.
Lead data and platform engineering on AWS for 2GO Group, building BI infrastructure, automated dashboards, and internal remittance apps while mentoring engineers and translating business needs into technical roadmaps.
The Senior Analytics Engineer will build data pipelines, dashboards, and capacity models while integrating internal and external data sources using SQL and Python. This onsite role in Quezon City requires working night shifts aligned with EST business hours.
The Senior Analytics Engineer will build and maintain reporting infrastructure, data pipelines, and dashboards while performing complex data analysis using SQL and Python. The role involves collaborating with cross-functional teams to provide actionable insights and capacity modeling during EST business hours.
The Senior BI & Analytics Engineer will lead a migration project moving dashboards from Power BI to Qlik Sense. The role involves collaborating with business stakeholders to develop effective data visualizations, KPIs, and actionable insights.
Lead data engineering initiatives on a unified data platform, driving Azure Databricks migration and collaborating with architects and security, using Python/ETL, data governance, and API integration in a hybrid BGC, Taguig setup.
The Senior Data Engineer will design and maintain scalable ETL/ELT pipelines within a Databricks Lakehouse environment to support BI and AI initiatives. This hybrid role requires expertise in Python, SQL, and Azure cloud services, emphasizing software engineering best practices like CI/CD and Infrastructure as Code.
The Data Engineer will build and maintain data pipelines, transformation jobs, and storage structures to ensure data quality and availability. The role focuses on integrating data across various platforms.
Data Engineer building and optimizing enterprise ETL pipelines using IBM DataStage, SQL, Unix/Shell scripting across DB2, Netezza, and Snowflake, with Control-M for workflow scheduling.
Data Engineer responsible for designing scalable big data infrastructure, building ETL pipelines, and creating reports using Python, SQL, and cloud resources.
Associate Snowflake Data Engineer designing, developing, and maintaining Snowflake-based data solutions for enterprise data platforms in a collaborative environment.
HRIS technical support role focused on Darwinbox system configuration, workflow automation, module setup, and troubleshooting for a cold storage company, using HTML, CSS, JavaScript, SQL, and APIs.
Data Engineer (Snowflake) on a managed services team, building and maintaining Snowflake-based ETL/ELT pipelines, optimizing query performance, and supporting enterprise data platforms using Snowflake, SQL, Python, and cloud platforms.
Data Engineer building and maintaining big data pipelines and ETL infrastructure, collaborating with cross-functional teams to transform raw data for analytics and operational purposes.
Design, build, and optimize data integration and analytics platforms, working on scalable data pipelines, models, and governance across enterprise systems using SQL, Snowflake, Informatica Cloud, and Power BI.
Design, build, and optimize scalable data products using Azure Databricks and PySpark, collaborating with business and technical teams on end-to-end data solutions, data governance, and CI/CD processes.
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