Data Engineer

IT Managers Inc.; Taguig; Hybrid; PHP 600,000 - 1,200,000; Full time

Job summary

IT Managers Inc. in Taguig, Philippines, is seeking a Data Engineer to design, build, and optimize data pipelines using Python and Spark to support analytics and business requirements.

The role emphasizes data quality, ETL/ELT workflows, and collaboration with cross-functional teams, with focus on scalable solutions and security standards.

Qualifications

• At least 3 years of experience in Data Engineering.
• Strong programming skills in Python.
• Hands-on experience with Apache Spark for large-scale data processing.
• Knowledge of data pipelines, ETL/ELT processes, and data transformation.
• Understanding of data integration, data quality, and database concepts.
• Strong analytical, troubleshooting, and problem-solving skills.
• Ability to work collaboratively with cross-functional teams.
• Experience with cloud data platforms is an advantage.

Responsibilities

• Develop and maintain data pipelines using Python and Spark.
• Process, transform, and integrate large datasets from multiple sources.
• Build and optimize ETL/ELT workflows for efficient data processing.
• Ensure data quality, accuracy, and reliability.
• Troubleshoot data pipeline issues and improve performance.
• Collaborate with data engineers, analysts, and other technical teams.
• Document data processes, workflows, and technical solutions.
• Follow data engineering best practices and security standards.

Skills

Python

Apache Spark

Data pipelines

ETL/ELT

Data quality

Troubleshooting

Cloud data platforms

Collaboration

Tools

Airflow

SQL

Job description

About the role

We are looking for a Data Engineer with experience in Spark, Python, and data engineering to develop, maintain, and optimize data pipelines. The ideal candidate will help build reliable data solutions that support data processing, analytics, and business requirements.

Key responsibilities

• Develop and maintain data pipelines using Python and Spark.

• Process, transform, and integrate large datasets from multiple sources.

• Build and optimize ETL/ELT workflows for efficient data processing.

• Ensure data quality, accuracy, and reliability.

• Troubleshoot data pipeline issues and improve performance.

• Collaborate with data engineers, analysts, and other technical teams.

• Document data processes, workflows, and technical solutions.

• Follow data engineering best practices and security standards.

About you

• At least 3 years of experience in Data Engineering.

• Strong programming skills in Python.

• Hands‑on experience with Apache Spark for large‑scale data processing.

• Knowledge of data pipelines, ETL/ELT processes, and data transformation.

• Understanding of data integration, data quality, and database concepts.

• Strong analytical, troubleshooting, and problem‑solving skills.

• Ability to work collaboratively with cross‑functional teams.

• Experience with cloud data platforms is an advantage.