Database Engineer

AI overview

Manage and optimize database and data pipeline infrastructure across AWS and on-premise environments, focusing on ETL/ELT pipelines and data governance.
Adventus is an Information and Communications Technology (ICT) Solutions and Services Provider with a wide footprint across the globe. We help organizations bring about positive transformation to their businesses by leveraging intelligent applications of innovative solutions and pertinent services to remain winners in today's ultra competitive marketplace. With our strong network of technology partners, excellent domain expertise and differentiated value proposition, we are able to go above and beyond for our customers, far exceeding expectations. We are looking for a highly skilled Database Administrator / Data Engineer to manage, optimize, and scale our database and data pipeline infrastructure across AWS and on-premise environments. The ideal candidate has experience in data engineering, system integration, and DevOps tools, with a solid foundation in automation, cloud, and ETL frameworks. Key Responsibilities: Design, develop, and maintain robust ETL/ELT pipelines using AWS Glue, Talend, and other orchestration tools Manage and monitor AWS services: Lambda (Python-based scripting S3 (Data Lake Management) RDS, EC2, and EventBridge / Scheduler Perform database administration tasks: Optimization, indexing, partitioning Backup and restore procedures Managing stored procedures, views, triggers Work with MySQL / MSSQL including SSRS/SSIS for reporting and integration Script and automate tasks using Bash, PowerShell, and AWS CLI Use WinSCP, Workbench, and Postman for integrations, testing, and data movement Integrate with SAP data sources and third-party APIs Schedule and monitor jobs via Windows Task Scheduler and AWS Event Scheduler Basic experience in DevOps pipelines and RPA/AI workflows is a plus Ensure data governance, reliability, and availability across systems Qualifications: Bachelor’s Degree in IT, Computer Science, or related field At least 1-3 years’ experience in database administration and/or data engineering Strong experience with cloud-based data infrastructure, especially AWS Proficient in SQL (MySQL, MSSQL) and data modeling concepts Experience with SAP data integration is a plus Knowledge in scripting languages (Python, Bash) Willing to work in Alabang, Muntinlupa
Salary
₱30,000 – ₱40,000 per month
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