Databricks Engineer

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

Job Summary

We are seeking a mid-level Data Engineer with hands‑on experience in Databricks to support the design, development, and optimization of scalable data solutions. The ideal candidate will have strong experience in data engineering principles, working with modern data platforms, and collaborating within cross‑functional teams in a fast‑paced environment.

Job Responsibilities

• Design, develop, and maintain data pipelines using Databricks and related technologies
• Build and optimize ETL/ELT processes for large‑scale data processing
• Work with structured and unstructured data across multiple data sources
• Develop and manage data models to support analytics and reporting requirements
• Collaborate with stakeholders including data analysts, developers, and business teams to understand data needs
• Ensure data quality, integrity, and governance across data platforms
• Monitor and troubleshoot data workflows and performance issues
• Contribute to continuous improvement of data engineering practices and standards

Job 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
• Experience with version control tools (e.g., Git)
• Strong problem‑solving skills and attention to detail