Job Mandate As a Data Engineer, you will play a key role in designing, developing, and maintaining end-to-end data solutions in the Enterprise Data Platform. You will be responsible for building scalable, efficient, reliable, and reusable data pipelines and analytic applications
Education Graduate of any bachelor’s degree in Computer Science, Information Systems / Technology, Engineering or a related study (or equivalent project-related experience). Qualifications Experience in software development. Working knowledge in Phyton, Perl, C/C++, PL/SQL,NoSQL and Java Linux
Design, develop, and maintain scalable ETL/ELT data pipelines. Build and optimize data warehouses, data lakes, and data marts. Integrate data from multiple internal and external sources. Develop and maintain database structures and data models. Ensure data quality, integrity, security, and governance. Monitor and
Be #InGoodHands with Metrobank! Here at Metrobank, we dont simply hire employees—we hone future leaders. We provide opportunities that enhance your skills and unlock your talents, helping you evolve into a well-rounded individual. We supply you
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Role Summary We are looking for a Mid-Level Data Engineer to support the delivery of modern cloud-based data solutions within the Oil & Gas industry. This role focuses on building scalable data pipelines, implementing lakehouse architectures, and supporting enterprise data modernization
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Data Engineer Lead Position: Data Engineer Lead Location: Makati City (Hybrid) Work Schedule: Monday to Friday Shift In This Role You Are Responsible For As the Data Engineer Lead, you will spearhead the design, construction, and optimization of our scalable data pipelines and
The Data Engineer will be responsible for designing, developing, and maintaining scalable data pipelines and data infrastructure that support business intelligence, analytics, and data-driven decision-making. Key Responsibilities Design, develop, and maintain scalable ETL/ELT data pipelines. Build and optimize data warehouses, data lakes, and data marts.
This is a remote position. Key Responsibilities * Assess the existing data pipeline, GCP architecture, data sources, and current limitations. * Design a BigQuery-based medallion architecture: Bronze, Silver, Gold, and Serving layers. * Design and/or implement data ingestion pipelines