Top Data Engineer Jobs in Manila

The Data Engineer will develop advanced PowerBI reports, optimize SQL queries, collaborate with stakeholders for reporting requirements, and ensure data accuracy across reporting solutions.

The Data Engineer will develop ETL processes, maintain data pipelines, perform troubleshooting, and ensure scalable data architecture.

The Cloud Data Engineer designs, builds and maintains scalable data pipelines, implements big data storage formats, and integrates data solutions on AWS with Python, ensuring reliability and scalability.

As a Data Engineer, you will analyze information needs, design and deploy data processing applications, maintain infrastructure, and resolve incidents in production while supporting internal staff and stakeholders.

Develop data platforms and pipelines for RingCentral, analyze data sources, automate data processes, and validate data transformations.

The Data Engineer will build and manage scalable data pipelines and databases, collaborate on architecture, and drive data systems towards real-time capabilities in a fast-paced, innovative environment.

Design, build, and maintain scalable data pipelines and ETL processes using Python and SQL. Optimize schemas and queries, deploy/manage data workloads on AWS, and collaborate with analysts and business teams to ensure data accuracy, availability, and governance.

This role involves designing, developing, and deploying solutions for customer data management, focusing on data integrity and analytics.

The Cloud Data Test Engineer will test cloud-based data solutions, ensure data pipeline quality, perform end-to-end data validation, and create test plans.

The Data Test Engineer will perform quality assurance activities, create test plans, track defects, and collaborate with teams, requiring strong SQL and programming skills.

Assist with data pipelines and analytics, support ETL processes, maintain Azure-based data assets, and monitor data pipeline performance.

The Data Engineer designs and develops ETL processes, analyzes data sources, resolves data quality issues, and mentors junior team members.

Lead the Security Analytics roadmap, design scalable data schemas, build ELT/ETL pipelines, optimize data lake performance, and mentor team members in data practices.

Lead the delivery of large-scale data platforms and BI solutions, collaborating with clients and stakeholders, and overseeing the development lifecycle and data modeling processes.

As a Senior Data Engineer, you'll analyze requirements, design and maintain Cognos models, develop reports, optimize performance, and collaborate with stakeholders.

The Senior Data Engineer designs, develops, and maintains models for the NICE BI platform, handles data integration, optimizes SQL queries, and mentors team members.

The Junior Data Analytics Developer will support data-driven decision-making through data mining, analysis, and visualization tasks, collaborating across teams for business insights.

Design, build, deploy, and maintain data processing applications and infrastructure; perform ETL, monitor production, resolve incidents, support stakeholders, and create proofs-of-concept and documentation.

The Senior Data Engineer will develop and maintain data systems, ensuring efficient data transformation and retrieval while collaborating with stakeholders to meet business needs and deliver data-driven insights.

The Sr. Data Engineer will design ETL pipelines, validate data, write SQL queries, manage ETL processes, and collaborate with teams to provide technical solutions.

The Senior Data Engineer leads the design, implementation, and maintenance of data systems, develops data architecture, and collaborates with cross-functional teams to support data needs.

Design, develop, and maintain data solutions and applications, ensuring data quality and performance while collaborating with cross-functional teams.

The role involves providing technical expertise in Salesforce's Data Cloud and Agentforce solutions, conducting Proof of Concepts, and advising on cloud architecture and AI capabilities for clients.

Lead large-scale data migration initiatives in banking. Define strategy, oversee vendor delivery, ensure data integrity, and manage transitions from legacy to modern platforms.

Manage data migration processes by maintaining trackers, validating data, coordinating test readiness, and ensuring documentation completeness. Collaborate with teams for accurate execution.