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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.
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.
Hands-on data engineering leader driving data enhancements across SQL Server/SSIS/SSRS, DBT, Python, and Fivetran, focused on architecture, code quality, CI/CD, observability, and coaching engineers at a Manila-based company.
The Lead Data Engineer will guide a team in designing and implementing scalable data solutions on the Azure cloud platform. The role involves mentoring developers, overseeing architecture, and ensuring high-quality data pipelines using Python, SQL, and Pyspark.
The Data Engineer will design and maintain scalable data pipelines and ETL processes to support data-driven decision-making. The role involves working with Google Cloud technologies like BigQuery, Airflow, and dbt within an international gaming company.
The Data Engineer SME leads data engineering initiatives, manages the migration to Azure Databricks, and provides technical guidance to the team. The role involves collaborating with stakeholders to design data solutions and ensuring the platform aligns with governance and business requirements.
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 Platform Engineer will design and implement data pipelines, transformation jobs, and storage structures to ensure high data quality and availability for analytics teams.
The Data Engineer at Gamigo Philippines Inc. will design, implement, and optimize scalable ETL pipelines and data infrastructure to support organizational decision-making. The role involves maintaining data models and ensuring high data quality through rigorous validation and monitoring.
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 will design and maintain scalable data infrastructure and ETL pipelines to support analytical and operational business needs. The role requires proficiency in Python, SQL, and various big data processing tools within cloud environments.
The Data Engineer will design, build, and maintain scalable data pipelines and ETL processes using GCP, Airflow, DBT, and Kafka to support data-driven decision-making.
Data Engineer providing L2/L3 operational support for Snowflake-based data platforms—troubleshooting pipelines, transformations, and integrations in a managed services environment with a focus on incident management, security governance, and continuous improvement.
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, build, and maintain scalable data pipelines and ETL processes using GCP, Airflow, and dbt to support data-driven decision-making. This role involves ensuring data quality, optimizing performance, and managing data models within a gaming company environment.
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 Engineer will design, develop, and maintain scalable data pipelines and integration solutions while providing production support. The role requires strong proficiency in Python and SQL to manage data transformation, modeling, and quality assurance.
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.
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