Top Data Engineer Jobs in Davao City

The Sr Cloud Data Engineer will lead data integration initiatives, collaborate with various stakeholders to ensure data alignment, and develop data management standards. Responsibilities include creating and reviewing data deliverables and developing and managing data pipelines and warehouse technologies.

The Data Engineer designs, builds, and maintains the data architecture and pipelines essential for efficient data collection, processing, and storage. Responsibilities include developing ETL processes, ensuring data quality, integrating data from various sources, optimizing performance, and collaborating with technical teams to support data needs.

The Senior Data Engineer will design, build, and maintain scalable data pipelines, lead data integration projects, implement CI/CD practices, manage a team of data engineers, enforce best practices in data governance, and evaluate new technologies to enhance data engineering capabilities.

As a Senior Software Engineer, you will lead the delivery of software solutions, improve development processes, and manage complex issues. You'll work with a team to develop and enhance applications, ensuring quality outputs, customer satisfaction, and adherence to project timelines.

The Data and Reporting Engineer will support BAU and ad-hoc reporting needs by producing complex reports and analytics, developing reporting tools, managing project requirements, and maintaining data integrity across various business units in the AUSPAC region.

The Senior Software Engineer will lead the design, development, and maintenance of integrations, mentor other engineers, and ensure that solutions align with business goals. They will also contribute directly to the codebase using Golang and Python, while leveraging AWS expertise to architect cloud-based solutions that enhance integration efficiency.

The DataStage Developer designs and implements ETL solutions using IBM DataStage, focusing on data integration and quality. Responsibilities include developing workflows, optimizing performance, troubleshooting issues, and collaborating with cross-functional teams to meet data requirements. They also create documentation and stay updated on industry trends.