Ascendion
Junior–Mid Level Data Engineer (AWS)
Skills
14 days ago
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Important information
Contract type:
Permanent
Salary:
₱720,000 – ₱1,020,000 / year
Location:
Metro Manila, Philippines
Work mode:
Hybrid
Published on:
6 October 2026
What they need
Junior–Mid Level Data Engineer
Location: BGC, Taguig
Work Setup: Hybrid
About the Role
We are looking for a Junior–Mid Level Data Engineer to join our team and support the development, maintenance, and optimization of data solutions in a cloud environment.
The ideal candidate has hands-on experience with AWS, Python, and SQL, with a strong interest in building and improving data pipelines, processing data, and supporting data-driven applications.
Key Responsibilities
- Develop, maintain, and optimize data pipelines and ETL/ELT processes.
- Work with AWS cloud services to store, process, and manage data.
- Develop Python scripts for data processing, automation, and pipeline development.
- Write and optimize SQL queries for data extraction, transformation, and analysis.
- Perform data validation, cleansing, and quality checks.
- Support data integration and migration activities across different data sources.
- Troubleshoot data pipeline and processing issues and implement appropriate solutions.
- Collaborate with Data Engineers, Analysts, Developers, and other stakeholders to deliver data solutions.
- Maintain technical documentation for data processes and solutions.
Required Qualifications
- Bachelor's degree in Computer Science, Information Technology, Engineering, Data Science, or a related field.
- 1–4 years of experience in Data Engineering, ETL, Data Analytics Engineering, or a related role.
- Hands-on experience with AWS and its data-related services.
- Strong Python programming/scripting skills.
- Strong SQL skills and experience working with relational databases.
- Understanding of ETL/ELT, data pipelines, data transformation, and data quality.
- Good problem-solving and analytical skills.
- Good communication and collaboration skills.
Nice to Have
- Experience with AWS S3, Glue, Redshift, Athena, Lambda, or EMR.
- Experience with Airflow or other workflow orchestration tools.
- Experience with PostgreSQL, MySQL, Oracle, or similar databases.
- Exposure to data warehousing or data lakes.
- Experience with Git/version control.
- Knowledge of data modeling and cloud-based data architectures.
Work Setup
- Hybrid setup
- BGC, Taguig
Why Join Us?
- Gain hands-on experience working with AWS cloud data technologies.
- Work on real-world data engineering and automation projects.
- Collaborate with experienced technical teams and expand your cloud and data engineering skills.
- Opportunity to grow within a global technology environment.
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