Data Engineer: Cloud Pipelines & ETL for Growth

Ascendion; Taguig; Hybrid; PHP 670,000 - 1,339,000; Full time

Job summary

Ascendion is seeking a Data Engineer with strong Python development experience to build and maintain scalable data pipelines. You will develop ETL processes, process data from diverse sources, and optimize data workflows across cloud environments such as AWS, Azure, and Google Cloud.

You will work with SQL databases, data warehousing concepts, and modern data tools like Spark, Airflow, and Databricks. This role requires collaboration with analysts and stakeholders to deliver reliable data

Qualifications

• 3+ years of experience as a Data Engineer or similar role.
• Strong programming experience in Python.
• Solid experience with SQL and relational databases (PostgreSQL, MySQL, SQL Server, Oracle).
• Hands-on experience developing ETL/ELT pipelines.
• Experience with cloud platforms such as AWS, Azure, GCP, or equivalent cloud technologies.
• Familiarity with data processing frameworks/tools such as Apache Spark, Airflow, Databricks, or similar is a plus.
• Experience with data warehousing, data lakes, or large-scale data processing is preferred.
• Knowledge of Git/version control and Agile development practices.

Responsibilities

• Design, develop, and maintain data pipelines and ETL workflows using Python and related technologies.
• Extract, transform, and process data from multiple sources (databases, files, APIs, and cloud platforms).
• Build and optimize data processing solutions for reliability, performance, and scalability.
• Work with cloud-based data environments such as AWS, Azure, or Google Cloud.
• Develop and optimize SQL queries and database processes.
• Ensure data quality, validation, and accuracy across data platforms.
• Troubleshoot data pipeline issues and implement solutions.
• Collaborate with data analysts, engineers, and business stakeholders to deliver data solutions.
• Maintain technical documentation and follow data engineering best practices.

Skills

Python

SQL

ETL/ELT pipelines

Cloud platforms

Apache Spark

Airflow

Databricks

Git

Agile development

Tools

PostgreSQL

MySQL

SQL Server

Oracle

Job description

Ascendion is seeking a Data Engineer with strong Python development experience to build and maintain scalable data pipelines. You will develop ETL processes, process data from diverse sources, and optimize data workflows across cloud environments such as AWS, Azure, and Google Cloud.

You will work with SQL databases, data warehousing concepts, and modern data tools like Spark, Airflow, and Databricks. This role requires collaboration with analysts and stakeholders to deliver reliable data