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As a Data Engineer, you will design, develop, and maintain automated data pipelines using Microsoft Azure services. You'll collaborate with cross-functional teams to optimize data solutions, ensuring high quality and scalability while supporting global operations.
The client is seeking for a skilled Data Engineer to design and maintain automated data transformation pipelines using Microsoft Azure services in MakatiMakati City, Philippines. This role combines software engineering principles with data expertise to create resilient, modular, and cost-effective data solutions that support enterprise-wide analyticsanalytics and business intelligence initiatives.
The AI Data Engineer will play a crucial role in designing, developing, and maintaining data pipelines and systems to support AI-driven solutions. This role requires expertise in analytics and a passion for leveraging data to solve complex problems in the technology and telecoms industry.
The Senior Data Engineer will play a critical role in designing, building, and maintaining robust data pipelines and infrastructure to support advanced analytics in the healthcare industry. This position requires a strong technical background to ensure seamless data integration and optimization across various platforms.
This role involves leading the design and development of scalable data pipelines, optimizing data systems for performance, and ensuring data quality across multiple platforms.
In this pivotal role, you will be responsible for designing, developing, and maintaining robust data pipelines and data warehousing solutions that will support our analytical and operational needs. You will work alongside cross-functional teams to ensure our data architecture is scalable, reliable, and secure.
The IT Client System team is searching for a Business Intelligence Engineer to join our team. This role will primarily lead in utilizing various technology and strategies used to manage and analyze data in the organization. The primary application will be Power BI and Tableau; However, this position may support other applications.
Are you a problem solver with a strong background in data science and big data technologies? As an Application Engineer, you'll play a key role in customizing and deploying a cutting-edge platform for AML (Anti-Money Laundering) and fraud detection to meet client-specific needs.
A Security Engineer is sought to join the cybersecurity team and enhance the bank's security posture by implementing and managing Data Loss Prevention (DLP), User Activity Monitoring (UAM), Identity and Access Management (IAM), and Privileged Access Management (PAM) solutions. The ideal candidate will possess a deep understanding of security best practices, risk management, and compliance requirements in the financial sector.
The AI Application Engineer is will research, design, develop, and implement AI-driven technologies and solutions to support business processes and enhance performance. This role requires a strong understanding of AI technologies and their application in the Technology & Telecoms industry.
As a Senior Data Scientist, you will lead advanced data analytics and machine learning projects to drive strategic decision-making in the Technology & Telecoms industry. This is a permanent role based in Makati, offering a chance to work on innovative solutions within the analytics department.
The Lead Data Analyst role in the healthcare industry involves spearheading the analytics department to drive data-informed decisions. This position requires strong analytical skills and a deep understanding of healthcare data to deliver actionable insights.
The Head of Data Engineering will lead the development and management of robust data systems to support analytics and innovation initiatives. This role in the Technology industry requires expertise in data architecture, team leadership, and driving scalable solutions.
The Lead Consultant - BI & Analytics will lead and manage analytics projects, leveraging business intelligence tools to deliver actionable insights for clients. This role is ideal for professionals in the technology & telecoms industry with a strong focus on data-driven decision-making.
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