Data Engineer
On-site Taguig Mid-level Data Engineering
At a glance
Mid-level Data Engineering role at Questronix Corporation. Taguig.
Pay not stated Data Engineer salary
RoleData Engineering
SeniorityMid-level
LocationTaguig
WorkplaceOn-site
PostedSep 18, 2026
Role brief
dataroles summary, based on the employer's posting.
What you'll do
- Build and look after IBM DataStage workflows that move data between business systems and databases
- Shape Oracle Database 19c queries and data structures to support efficient processing
- Check data quality, resolve processing faults, and tune performance to keep results reliable
- Watch scheduled ETL runs, investigate failures, and apply fixes
What you bring
- At least three years in data engineering, ETL development or data integration
- Practical IBM DataStage skills across job creation, scheduling and fault-finding
- Oracle Database 19c proficiency, including SQL, stored procedures and query tuning
- Experience with complex SQL, data warehousing, dimensional models, version control and production ETL support
Who this fits
This role suits a mid-level data engineer with hands-on ETL and Oracle experience. The position is onsite in Taguig, Philippines.
From the employer
Job Description:
- Design, develop, and maintain data integration and ETL processes using IBM DataStage based on business and technical requirements.
- Develop, optimize, and maintain ETL jobs for extracting, transforming, and loading data across enterprise systems and databases.
- Design and optimize database queries, data structures, and data processing solutions using Oracle Database 19c.
- Perform data validation, troubleshooting, performance tuning, and error handling to ensure data accuracy, integrity, and reliability.
- Monitor and support scheduled ETL jobs, investigate data processing issues, and implement appropriate corrective actions.
Requirements
Qualifications:
- At least 3–5 years of experience in Data Engineering, ETL Development, or Data Integration.
- Strong hands-on experience with IBM DataStage for ETL development, job design, scheduling, and troubleshooting.
- Proficient in Oracle Database 19c, including SQL development, data manipulation, joins, stored procedures, and query optimization.
- Strong understanding of ETL concepts, data integration, data transformation, and data quality.
- Experience in developing and optimizing complex SQL queries for large datasets.
- Familiar with data warehouse concepts, dimensional modeling, and enterprise data integration patterns.
- Experience with version control, deployment processes, and production support for ETL applications.
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