Databricks Data Engineer: Build Scalable ETL Pipelines

DysrupIT; Manila; On-site; PHP 800,000 - 1,200,000; Full time

Job summary

A tech company in Metro Manila, Philippines, is looking for a mid-level Data Engineer proficient in Databricks to support scalable data solutions. Key responsibilities include designing and maintaining data pipelines, optimizing ETL processes, and ensuring data quality and integrity. Ideal candidates will have a minimum of 2 years of experience in data engineering and strong skills in Python and SQL. Familiarity with cloud platforms like Azure, AWS, or GCP is also required.

Qualifications

• Minimum 2+ years of experience in data engineering.
• Hands-on experience with Databricks.
• Strong proficiency in Python and/or SQL.
• Experience with data pipeline development and data transformation frameworks.
• Familiarity with cloud platforms (e.g., Azure, AWS, or GCP).
• Understanding of data warehousing concepts and modern data architectures.

Responsibilities

• Design, develop, and maintain data pipelines using Databricks.
• Build and optimize ETL/ELT processes for large-scale data processing.
• Collaborate with stakeholders to understand data needs.
• Ensure data quality and governance across data platforms.

Skills

Python

SQL

Databricks

Data Pipeline Development

Data Transformation Frameworks

Problem-Solving

Tools

Azure

AWS

GCP

Git

Job description

A tech company in Metro Manila, Philippines, is looking for a mid-level Data Engineer proficient in Databricks to support scalable data solutions. Key responsibilities include designing and maintaining data pipelines, optimizing ETL processes, and ensuring data quality and integrity. Ideal candidates will have a minimum of 2 years of experience in data engineering and strong skills in Python and SQL. Familiarity with cloud platforms like Azure, AWS, or GCP is also required.