Deskripsi Pekerjaan
Are you passionate about leveraging technology to build a more sustainable future? Responsible Internet Sustainability Effort Inc is seeking a highly skilled and motivated Software Engineer - Data Analytics to join our growing team in Makati City. In this dynamic role, you will play a key part in designing, building, and scaling our core information systems, which are utilized by our global staff to drive impactful sustainability initiatives worldwide.
As a Software Engineer specializing in Data Analytics, you will bridge the gap between backend software development and data engineering. You will be responsible for creating robust data pipelines, maintaining database architectures, and ensuring that our teams have seamless access to high-quality, actionable data. If you are a problem-solver who thrives in a collaborative, mission-driven environment, this is the perfect opportunity to elevate your career and make a global impact.
Tanggung Jawab
- Design, develop, and maintain robust data pipelines and ETL/ELT processes to support global information systems.
- Collaborate with international teams to gather system requirements and translate them into scalable technical solutions.
- Optimize database performance, query speeds, and data storage structures for high-volume data analytics.
- Integrate third-party APIs and internal data sources into a centralized data warehouse.
- Ensure data integrity, security, and compliance across all software and data platforms.
- Perform regular system monitoring, debugging, and troubleshooting to maintain high system availability.
- Document technical designs, workflows, and system architectures to facilitate knowledge sharing.
Kualifikasi
- Bachelor’s degree in Computer Science, Information Technology, Software Engineering, or a related technical field.
- At least 3 years of professional experience in software development, data engineering, or data analytics.
- Strong proficiency in programming languages such as Python, Java, or Scala.
- Advanced knowledge of SQL and hands-on experience with relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases.
- Experience with cloud platforms (AWS, GCP, or Azure) and modern data warehousing technologies.
- Familiarity with data pipeline orchestration tools (such as Apache Airflow) and ETL frameworks.
- Excellent analytical, problem-solving, and communication skills, with the ability to collaborate with global stakeholders.