Top Data Engineer Jobs in Quezon City

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.

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.

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.

As a Data Engineer, you will design and maintain data solutions using Azure and Databricks, implementing ETL processes and optimizing data pipelines.

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

Support the Marketing Data Engineering function by monitoring data ingestion jobs, validating delivery, performing compliance checks, maintaining documentation, and troubleshooting issues.

Provide technical leadership and mentorship to software engineering teams, collaborate cross-functionally to define requirements, manage project tasks/timelines/budgets, identify and mitigate risks, participate in strategy and technology assessments, and promote a culture of innovation and continuous learning.

Lead applications business development, account management, and service delivery for large accounts. Develop operational plans and budgets, resolve staffing and client issues, grow accounts through strategy and solutions, hire and coach staff, ensure contract compliance and client satisfaction, and collaborate on delivery models and financial targets.

Design, build, and maintain scalable data pipelines and ETL processes using Python and SQL. Optimize schemas and queries, deploy/manage data workloads on AWS, and collaborate with analysts and business teams to ensure data accuracy, availability, and governance.

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.

Design and implement BigQuery-based medallion (lakehouse) architectures and ingestion pipelines on GCP; define datasets, partitioning, clustering, and cost controls; support batch/incremental/on-demand processing; implement data quality, monitoring, and search/AI integration; produce architecture docs and work with engineering, data, DevOps, and product teams for handover.

Design, build, and optimize data infrastructure for reporting and analytics. Manage data synchronization, optimize BigQuery performance, enforce data security, and develop data integration tools using the MERN stack.

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 role involves building and maintaining data pipelines, developing ETL components, testing, CI/CD deployment, and collaborating with the BA and Scrum Master on projects.

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