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The Data & Analytics Test Engineer validates data pipelines, ETL processes, and Power BI dashboards to ensure data integrity and accuracy. The role involves performing functional, SIT, UAT, and regression testing while collaborating with developers and business users to resolve defects.
The Cloud Data Engineer will design and maintain scalable data pipelines and cloud-based platforms on Azure to support analytics and AI/ML initiatives. The role involves developing ETL/ELT processes, creating Power BI dashboards, and collaborating with data scientists to deploy models.
The Senior Data Engineer will design and maintain scalable ETL/ELT pipelines within a Databricks Lakehouse environment to support BI and AI initiatives. This hybrid role requires expertise in Python, SQL, and Azure cloud services, emphasizing software engineering best practices like CI/CD and Infrastructure as Code.
Data Engineer (Snowflake) on a managed services team, building and maintaining Snowflake-based ETL/ELT pipelines, optimizing query performance, and supporting enterprise data platforms using Snowflake, SQL, Python, and cloud platforms.
Lead Data Engineer responsible for designing and delivering scalable enterprise data and analytics solutions using Azure Databricks and ELT architecture, while mentoring engineers and promoting CI/CD and data quality practices.
AI Data Engineer in Cebu building and maintaining scalable ETL/ELT pipelines, data models, and reporting solutions on Snowflake, Informatica Cloud, and Power BI while supporting AI-driven automation initiatives.
Design and optimize scalable ETL/ELT data pipelines for structured and unstructured data (sensor/image) and drive AI-focused automation and orchestration workflows in collaboration with data scientists and engineering teams.
Data/Analytics Engineer at Teradyne (Philippines) building and operating scalable ETL/ELT pipelines, data models, and governance frameworks, primarily using Snowflake, Informatica Cloud, and Power BI to deliver AI-enabled analytics.
Data Engineer designing and maintaining data pipelines, backend services, and frontend interfaces using C#/.NET, Angular, and SQL for an outsourcing company in the Philippines.
Senior/Staff Data Engineer designing scalable ETL/ELT pipelines for structured and unstructured data (sensor, image) and operationalizing agentic AI workflows, using Python, SQL, and AI orchestration frameworks at a semiconductor company.
The Data Engineer II will design and maintain scalable data pipelines, warehouses, and lakes to support analytics, AI, and automation initiatives. The role requires proficiency in SQL, Python, and cloud platforms to build reliable, governed data foundations.
The Data Engineer will modernize and scale cloud data platforms by building ETL/ELT pipelines using Databricks, Informatica (IDMC), and AWS. The role involves migrating legacy workflows to PySpark and SQL while managing data governance and infrastructure performance.
The Data Engineer will design, build, and maintain scalable ETL/ELT pipelines and data infrastructure to support analytics and machine learning initiatives. The role involves collaborating with cross-functional teams to ensure data quality, performance, and security across cloud-based data systems.
The Data Platform Engineer will configure, maintain, and optimize Snowflake data warehouse environments, utilizing Terraform for infrastructure as code. The role involves managing performance, security, access controls, and disaster recovery while collaborating with data teams to support scalable data solutions.
The Data Engineer Lead will design and maintain scalable data pipelines and infrastructure while mentoring a team of engineers. The role involves collaborating with stakeholders to build analytics-ready data models and ensuring compliance with data governance standards.
The Data Engineer will design, model, and develop GCP-based data ecosystems, including data lakes and warehouses, while collaborating directly with clients. The role involves building data pipelines, optimizing storage architectures, and mentoring team members using technologies like BigQuery, Python, and Airflow.
The Data Platform Engineer will lead the architecture, design, and evolution of an Enterprise Data Platform using technologies like Azure, Databricks, and Microsoft Fabric. The role focuses on building scalable data pipelines, establishing data governance, and driving platform modernization.
The Data Engineer will design, build, and maintain scalable data pipelines and cloud-based analytics platforms using Microsoft Azure. The role involves collaborating with stakeholders and data scientists to support business intelligence, machine learning initiatives, and data governance.
The Data Engineer Lead will design and implement scalable data architectures and pipelines using Azure Databricks, dbt, and SQL. This role involves providing technical leadership, mentoring junior engineers, and establishing best practices for data engineering and CI/CD workflows.
The Data Engineer will design and manage data pipelines on the Azure platform, working with technologies like Azure Databricks and PySpark. The role involves collaborating with international teams on advanced data projects in a hybrid or remote environment.
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