Data Engineer

Ascendion; Taguig; On-site; 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

About the Role

We are seeking a skilled Data Engineer with strong Python development experience and exposure to cloud platforms (AWS, Azure, or similar technologies). You will be responsible for building and maintaining scalable data pipelines, developing ETL processes, and supporting data-driven solutions for business and analytics needs.

Key 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

Requirements

• 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, etc.)

• 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

Preferred Qualifications

• Experience with cloud data services (AWS/Azure Data Factory, AWS Glue, Azure Synapse, etc.)

• Exposure to data governance and data quality practices

• Experience working with APIs, automation, or machine learning data workflows

What We Offer

• Competitive salary package

• Professional growth and learning opportunities

• Exposure to modern data technologies and cloud platforms

• Collaborative and innovative work environment