Top Data Engineer Jobs in Manila

Intern will support and develop features in a web project, applying data cleansing and implementing visualizations for customers.

The Data Developer will design, expand, and optimize data pipelines, process data from various sources, and assist with data-related issues.

Support design, develop, test and deploy ETL/ELT pipelines for Finance data lake and warehouse. Provide L1/L2 platform support, implement data quality, validation and governance, maintain metadata/lineage, and collaborate with business users and analysts to translate requirements and enable BI self-service.

The Data Engineer will develop and operate a cloud-based Manufacturing Data Lake, manage data pipelines, optimize solutions, and ensure efficient platform use for users.

Design, build and optimize complex Azure-based data pipelines and ETL solutions using Informatica and big-data technologies. Analyze sources, resolve data quality issues, implement automation, tune performance, and mentor junior team members to deliver end-to-end BI and real-time analytics solutions.

Design and maintain secure data platforms, optimize data workflows and processes, and collaborate with stakeholders to implement data solutions.

This role involves developing and maintaining software programs under the guidance of a Software Engineer, ensuring adherence to specifications and standards while coordinating with team members.

The Data Engineer will support the development of a scalable data intelligence platform in Azure, build data pipelines, ensure data integrity, and collaborate with analysts on solutions.

The Data Engineer will build data systems, evaluate business needs, enhance data quality, and develop analytical tools while managing raw data.

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.

The Data Engineer will monitor and support data pipelines, troubleshoot issues, optimize SQL queries, maintain SSIS packages, and assist in Azure services operations.

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

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 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.

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.

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.