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The Data Engineer will build and maintain data pipelines, transformation jobs, and storage structures to ensure data quality and availability. The role focuses on integrating data across various platforms.
Data Engineer building and optimizing enterprise ETL pipelines using IBM DataStage, SQL, Unix/Shell scripting across DB2, Netezza, and Snowflake, with Control-M for workflow scheduling.
Data Engineer responsible for designing scalable big data infrastructure, building ETL pipelines, and creating reports using Python, SQL, and cloud resources.
Associate Snowflake Data Engineer designing, developing, and maintaining Snowflake-based data solutions for enterprise data platforms in a collaborative environment.
HRIS technical support role focused on Darwinbox system configuration, workflow automation, module setup, and troubleshooting for a cold storage company, using HTML, CSS, JavaScript, SQL, and APIs.
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.
Data Engineer building and maintaining big data pipelines and ETL infrastructure, collaborating with cross-functional teams to transform raw data for analytics and operational purposes.
Design, build, and optimize data integration and analytics platforms, working on scalable data pipelines, models, and governance across enterprise systems using SQL, Snowflake, Informatica Cloud, and Power BI.
Design, build, and optimize scalable data products using Azure Databricks and PySpark, collaborating with business and technical teams on end-to-end data solutions, data governance, and CI/CD processes.
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.
Build and maintain scalable data pipelines and models using Snowflake, AWS, SQL, Python, and DBT in a hybrid setup, collaborating with cross-functional teams to ensure data quality and integrity.
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 building and optimizing scalable ETL pipelines on Azure and Databricks using Python/PySpark and SQL for an enterprise data platform initiative.
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 Data Engineer building scalable data pipelines and platform components on the Databricks Lakehouse using SQL, Python, and PySpark, with IaC and CI/CD practices for analytics and AI use cases.
Data Platform Engineer designing and building cloud-based data lakes and pipelines to power analytics, AI, and digital transformation, with focus on data quality, governance, and system integration.
Configure, deploy, and optimize Snowflake infrastructure using Terraform as infrastructure-as-code, implementing security controls, monitoring performance, and managing releases, query optimization, and backup/DR strategies in collaboration with data engineers.
Data Engineer designing and building scalable data pipelines and infrastructure using Python, ETL, SQL, and cloud resources, collaborating with cross-functional teams and creating ad hoc reports.
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