Top Data Engineer Jobs in Manila

As a BI Data Engineer, you will focus on advanced data modeling, ETL management, database oversight, and collaborating with teams to generate insights and enhance data integrity.

The Data Engineer will design, build, and maintain scalable data solutions, focusing on data pipelines, ETL/ELT processes, and cloud platforms, particularly Snowflake.

Seeking a Data Engineer to design and maintain scalable data pipelines on Google Cloud Platform, collaborating with teams to support data initiatives and ensuring data quality and performance optimization.

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.

The Data Operations Engineer is responsible for designing and maintaining data pipelines in Databricks, optimizing workflows, supporting client needs, and ensuring data quality in a production environment.

Supports Marketing Data Engineering by performing data pipeline checks, validation, and operational tasks while monitoring scheduled data ingestion jobs.

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.

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.

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.