Senior Data Engineer (Python, SQL, ETL, AWS)

Ascendion; Philippines; On-site; PHP 1,800,000 - 2,400,000; Full time

Job summary

Ascendion is seeking a Senior Data Engineer with strong experience in Python, SQL, ETL/ELT, and AWS to design, develop, and maintain scalable data pipelines and data engineering solutions.

The role demands 6+ years in Python, SQL, ETL, and AWS, or 5+ years with hands‑on PySpark, MWAA/Airflow, data modeling, data quality frameworks, and Git/CI/CD practices. Hybrid setup in Makati City with 3 onsite days per week.

Qualifications

• 6+ years in Python, SQL, ETL, and AWS (or 5+ years with PySpark and Airflow).
• Experience with data pipelines, data quality frameworks, and data modeling.
• Git and CI/CD practices.

Responsibilities

• Design scalable data pipelines and data engineering solutions.
• Develop and maintain data processing workflows and data models.
• Collaborate with analytics teams to ensure data reliability and availability.

Skills

Python

PySpark

SQL

ETL/ELT

AWS

MWAA

Airflow

Data pipelines

Data quality

Data modeling

Git

CI/CD

Job description

Senior Data Engineer (Python, SQL, ETL, AWS)
We are looking for a Senior Data Engineer with strong experience in Python, SQL, ETL/ELT, and AWS to design, develop, and maintain scalable data pipelines and data engineering solutions.

Qualifications

• 6+ years of experience in Python, SQL, ETL, and AWS

OR

• 5+ years of relevant experience in:

  
  
  
  

  • ETL/ELT development using Python, PySpark, and SQL

  
  

  • Data orchestration using MWAA (Managed Workflows for Apache Airflow) / Airflow DAGs

  
  

  • AWS services and cloud-based data engineering

  
  

  • Data pipeline development and optimization

  
  

  • Data quality and reconciliation frameworks

  
  

  • Data modeling fundamentals

  
  

  • Git and CI/CD practices

  
  
  
  

Key Skills

Python | PySpark | SQL | ETL/ELT | AWS | MWAA | Apache Airflow | Data Pipelines | Data Quality | Data Reconciliation | Data Modeling | Git | CI/CD

Work Arrangement

• Hybrid setup: 3x onsite every week




• Location: Makati City