Top Data Engineer Jobs in the Philippines

As a Data Engineer and Visualization Senior Associate, you will lead data access projects, enhance data consumption practices, and develop a unified analytics platform. You will collaborate with stakeholders, automate components, support training, and ensure data governance while fostering continuous improvement.

The Data Engineer will be responsible for developing and implementing ETL processes, maintaining integration tools, designing database structures, and troubleshooting data-related issues. You'll need to have strong SQL knowledge and experience with ETL toolset along with the ability to analyze data needs and develop scalable data pipelines.

The Data Engineer will design, implement, and improve data integration solutions, collaborating with stakeholders to translate business needs into technical solutions. Responsibilities include developing big data and analytic solutions, creating data pipelines, optimizing queries, and maintaining technical documentation. They will also conduct exploratory data analysis and support Agile delivery squads.

As a Data Engineer at Sophos, you will be responsible for understanding business and data requirements, developing ETL transformations, writing SQL queries, and coordinating environments. Essential qualifications include a B.S. degree in Computer Science, 1-2 years of IT experience with ETL tools, proficiency in SQL, and the ability to work in a cross-functional team environment.

The Data Engineer role involves analyzing large datasets, building and managing data pipelines, implementing ETL processes, and optimizing data workflows. Collaborating with cross-functional teams, the engineer translates business requirements into efficient technical solutions, communicates insights effectively, and supports data-driven decision-making.

As a Data Engineer, you'll develop and implement data pipelines, optimize data integration, maintain data quality, and create visualizations. Your role includes collaborating with stakeholders, ensuring data accuracy, and continuously improving data processes for optimal performance.

The Cloud Data Engineer will write maintainable code, promote continuous delivery practices, and implement resilient, scalable solutions. They will take ownership of applications and contribute to safe development practices while using various tools and technologies. The role requires strong skills in Python, SQL, and experience in cloud data engineering, preferably in an Agile environment.

The Data Engineer will analyze and organize raw data, build data systems and pipelines, evaluate business needs, enhance data quality, identify data acquisition opportunities, and develop analytical tools and programs.