AWS Data Engineer – Junior to Mid Level (Hybrid)

Ascendion; Taguig; Hybrid; PHP 600,000 - 900,000; Full time

Job summary

Ascendion is seeking a Junior–Mid Level Data Engineer to join our team in a hybrid setup at BGC, Taguig. You will develop, maintain, and optimize data pipelines in a cloud environment, focusing on ETL/ELT processes and data quality.

The ideal candidate has hands-on experience with AWS, Python, and SQL, and a strong interest in building and improving data pipelines, processing data, and supporting data-driven applications.

Qualifications

• Bachelor's degree in CS/IT/Engineering/Data Science or related field.
• 1–4 years of experience in Data Engineering, ETL, or related roles.
• Hands-on experience with AWS and its data-related services.
• Strong Python programming and SQL skills.
• Understanding of ETL/ELT, data pipelines, and data quality.

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.

Skills

ETL/ELT

Data pipelines

Data quality

Problem solving

Communication

Education

Bachelor's degree in CS/IT/Engineering/Data Science

Tools

AWS

Python

SQL

Job description

Ascendion is seeking a Junior–Mid Level Data Engineer to join our team in a hybrid setup at BGC, Taguig. You will develop, maintain, and optimize data pipelines in a cloud environment, focusing on ETL/ELT processes and data quality.

The ideal candidate has hands-on experience with AWS, Python, and SQL, and a strong interest in building and improving data pipelines, processing data, and supporting data-driven applications.