Data Engineer
Description
Salary: ₱60,000 – ₱80,000 per month
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.