Top Data Engineer Jobs in Manila

The Data Engineer will implement and maintain data workflows, manage ETL/ELT processes, design storage solutions, and ensure quality outputs through testing. Responsibilities include documenting specifications, collaborating with operations teams, and improving data handling processes across cloud platforms.

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.

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.

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

The Data Engineer designs and maintains data pipelines, converts complex JSON into relational tables, optimizes data processing, and collaborates with stakeholders.

Design, develop, and optimize data pipelines for the data warehouse, ensuring data quality and supporting agile teams and stakeholders.

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 at NiCE will manage operations-related tasks, support release pipelines, monitor systems, and strive for improved automation and efficiency in data-related processes.

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

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.

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

The Data Engineer will analyze raw data, build data systems, enhance data quality, develop tools, and meet business objectives.

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

The Data Engineer will analyze and organize raw data, build data systems and pipelines, and improve data quality for business needs.

The Data Engineer will analyze raw data, build data pipelines, evaluate business needs, enhance data quality, and develop analytical tools.

The Data Engineer will analyze and organize raw data, build systems and pipelines, and develop analytical tools to enhance data quality.

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

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.

The Data Engineer is responsible for delivering data solutions, collaborating on projects, improving data quality, and managing multiple tasks effectively while adhering to client methodologies.

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.

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

The Data Engineer is responsible for analytics and insights development, including data sourcing, integration, analytical modeling, and data visualization to enhance business performance and decision-making.

The Data Engineer develops and manages the Manufacturing Data Lake, optimizing data pipelines, supporting CI/CD processes, and collaborating with IT and business teams.