Top Data Engineer Jobs in Manila

The Cloud Data Engineer designs and develops data solutions on Azure, implements ETL processes, analyzes data quality, and mentors team members.

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

The Senior Data Engineer leads the design and implementation of data systems, manages a team, and ensures data quality for analysis.

The Data Engineer designs and optimizes ETL pipelines using SQL, Python, Spark, and Hadoop, ensuring data quality and collaboration with teams.

The Data Engineer will design, develop, and maintain scalable data pipelines, optimize data processes, and collaborate with teams to support analytics and reporting solutions.

Responsible for designing and maintaining data pipelines using DBT and Snowflake, optimizing performance, and ensuring data quality.

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 pipelines, evaluate business needs, enhance data quality, and develop analytical tools.

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 systems and pipelines, and develop analytical tools to enhance data quality.

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

The SME, Data Engineer leads a team in developing data solutions, conducting POCs, and ensuring data governance and performance across platforms.

As a Data Engineer, you will develop and maintain data infrastructure, lead projects, collaborate with teams to meet data requirements, and implement data quality checks while utilizing various technologies.

The Data Engineer will implement and maintain data workflows, ETL/ELT processes, and pipelines, ensuring quality outputs while collaborating with operations teams for continuous improvement.

The Data Engineer will develop ETL processes, maintain data pipelines, perform troubleshooting, and ensure scalable data architecture.

Join Essor's FinTech team as a Data Engineer to manage datasets in Snowflake, ensuring data quality, collaborating with teams, and delivering analytical solutions.

The role involves building AI-driven products, designing intelligent workflows, and developing data pipelines for efficient AI integration and automation.

Maintain the reporting data platform by building extraction pipelines in Airflow, transforming data in Snowflake, and managing access controls.

The Cloud Data Engineer designs, builds and maintains scalable data pipelines, implements big data storage formats, and integrates data solutions on AWS with Python, ensuring reliability and scalability.

The Senior Backend Engineer designs and builds automated solutions for regulatory reporting, focusing on finance and risk datasets, and collaborates with Business Analysts. Responsibilities include coding, mentoring developers, ensuring system performance, and maintaining software standards.

As a Data Engineer, you'll build data pipelines, manage data infrastructure, create models for analytics, and develop AI-driven tools while collaborating with teams to improve data management and reporting.

Lead the data engineering team, overseeing data infrastructure design and management. Collaborate across teams to ensure efficient data handling for analytics and decision-making.

As a Data Engineer, you will analyze requirements, develop integrations using SQL and Oracle Data Integrator, support audits, and communicate with stakeholders. You'll automate deployments, conduct testing, and work in a team environment.

The Data Engineer will design and develop ETL processes, ensure data quality, report capabilities, and mentor junior team members while delivering data solutions to the business.