Top Data Engineer Jobs in Quezon City

Maintain, clean, and normalize customer and operational data; build and sustain reliable data pipelines and analytics-ready tables. Implement basic data quality checks, monitor and resolve pipeline issues, document datasets, and support analysts and stakeholders with accurate, usable data.

The role involves designing and building data infrastructure, developing ETL/ELT applications, collaborating with teams, and improving engineering processes for analytics and AI capabilities.

The Associate Data Engineer at NICE CXone supports data product infrastructure, coordinates release operations, monitors Snowflake environments, and improves DataOps processes through automation and tooling.

Design, implement, and maintain scalable data infrastructure for analytics and operational decision-making, optimizing data pipelines and ensuring data quality.

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

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.

Assist in implementing ETL/ELT tasks and data model changes, learn standards for data quality, and support data profiling and defect fixes.

Responsible for developing and maintaining ELT snowflake solutions, collaborating with teams, mentoring developers, and improving data engineering practices.

Data Engineer II will execute data project initiatives, maintain data applications, automate processes, and mentor junior developers while collaborating with teams.

The Data Engineer will build and maintain data-driven solutions for banking reporting, collaborating with analysts to refine requirements and deliver solutions. Responsibilities include data analysis, solution design, implementation, and documentation while following Agile practices.

Design, build, and maintain scalable ETL and real-time data processing systems on Databricks and AWS. Develop Spark-based pipelines, ensure data quality and governance, implement security controls, automate infrastructure with Terraform, and collaborate with analysts and engineers to resolve issues and optimize performance.

Design, build, test and maintain ETL pipelines using Python and Jupyter notebooks. Transform vendor and client data, migrate Excel logic to Python, document processes, respond to incidents within SLAs, automate processes, and collaborate with business and technical teams to improve data workflows.

The Data Engineer will design, develop, and maintain data pipelines, ensuring accurate data for reporting and decision-making, while improving internal processes and keeping up with technology trends.

The Data Engineer will design, develop, and maintain data pipelines and architecture, ensuring data quality and governance, while collaborating with data professionals.

Design, develop, and maintain complex T-SQL stored procedures and SSIS ETL packages; performance tune databases; perform data analysis, validation, and testing; support production data loads and troubleshoot database issues while collaborating with technical and business teams.

The Data Engineer Consultant captures, transforms, and loads data using Azure services, ensuring data quality and developing ETL pipelines while collaborating with stakeholders.

Build and maintain cloud-based data pipelines and architectures using SQL and Python. Collaborate with modelers to assemble large datasets, automate and optimize ETL processes, ensure data quality, document technical solutions, and explore new data sources to support predictive analytics.

Develop, test, and maintain enterprise applications and services; support API development and system integrations; collaborate with business and technical teams in Agile; troubleshoot defects and performance issues; maintain documentation and support deployments.

Develop, test, and maintain enterprise applications and services; build APIs and system integrations; collaborate with business and technical teams in Agile; troubleshoot defects and performance issues; maintain documentation and support deployments.

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.

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.

The Senior Data Analytics Developer will lead data analysis initiatives, develop BI solutions, and enhance reporting capabilities across various teams, focusing on large datasets and advanced technologies to drive business insights.

The Senior Data Engineer will design and optimize data pipelines from SAP to Databricks, focusing on CDC and stream processing. Responsibilities include managing Kafka components, CI/CD pipelines, and ensuring data quality while collaborating with various teams.

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 and Reporting Engineer collects, transforms data, ensures data quality, develops reports and dashboards, and manages data projects in the financial services industry.