Data Engineer
On-site Pasig Mid-level Data Engineering
At a glance
Mid-level Data Engineering role at Questronix Corporation. Pasig.
Pay not stated Data Engineer salary
RoleData Engineering
SeniorityMid-level
LocationPasig
WorkplaceOn-site
PostedFeb 25, 2026
Role brief
dataroles summary, based on the employer's posting.
What you'll do
- Build and maintain data flows and ETL processes that serve analytics and business operations
- Use Python scripts and automation to ingest, transform, and check datasets
- Tune SQL queries, schemas, and data models for speed and reliability
- Run data workloads in AWS, covering security, monitoring, and scale
- Work with analysts, developers, and business teams to keep data accurate, available, and governed
What you bring
- A bachelor's degree in computer science, information technology, data engineering, or a related course
- Three to five years working on data engineering, pipeline development, or backend data processing
- Strong Python skills plus advanced SQL, data modeling, and relational database tuning knowledge
- Practical experience with AWS data services such as S3, RDS, Glue, or comparable tools
Who this fits
This mid-level role suits someone who has built ETL pipelines and worked with structured and semi-structured data. You should be comfortable with version control, CI/CD, Agile ways of working, and documenting and communicating your work. The role is fully onsite in Ortigas.
From the employer
Job Description:
- Design, build, and maintain scalable data pipelines and ETL processes to support analytics and business operations.
- Develop data processing scripts and automation using Python to ingest, transform, and validate datasets.
- Design and optimize SQL queries, schemas, and data models for performance and reliability.
- Deploy and manage data workloads in AWS environments ensuring security, monitoring, and scalability.
- Collaborate with analysts, developers, and business teams to ensure data accuracy, availability, and governance compliance
Requirements
Qualifications:
- Bachelor’s degree in Computer Science, Information Technology, Data Engineering, or any related course.
- 3–5 years of experience in data engineering, data pipeline development, or backend data processing.
- Strong proficiency in Python for data processing and automation.
- Advanced knowledge of SQL, data modeling, and relational database optimization.
- Hands-on experience with AWS data services (e.g., S3, RDS, Glue, Lambda, or similar).
- Experience building ETL pipelines and handling structured and semi-structured data.
- Familiar with version control, CI/CD workflows, and Agile methodologies.
- Strong analytical mindset with good documentation and communication skills.
- Can work fully onsite at Ortigas
Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.
Each morning you get everything that fits, strongest first.
Data Engineering
Find me workBy the team behind dataroles.