Databricks Data Engineer: Build Scalable Pipelines & ELT

Xurpas Incorporated

Philippines

On-site

PHP 900,000 - 1,300,000

Full time

14 days+

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Job summary

Xurpas Incorporated is seeking a Data Engineer to design, develop, and maintain scalable data pipelines and data solutions. You will handle data generation, ingestion, transformation, and processing, ensuring data quality across diverse systems and platforms.

Collaboration with cross-functional teams is essential to improve data accessibility, reliability, and business insights. The role emphasizes building efficient ETL/ELT processes, data governance, and documentation, while supporting

Qualifications

Proficient with data processing and big data concepts.
Strong programming skills in Python and PySpark.
Experience with SQL and data modeling principles.

Responsibilities

Serve as SME for data engineering solutions and platforms.
Collaborate with stakeholders to deliver high-quality data pipelines.
Own technical decisions and contribute to key project initiatives.
Develop, optimize, and maintain scalable data pipelines and workflows.
Design and implement ETL/ELT processes for structured and unstructured data.
Monitor, troubleshoot, and resolve data quality and pipeline performance issues.
Implement best practices for data governance, security, and compliance.
Create and maintain technical documentation for data processes and architectures.
Work with data analysts, data scientists, and business teams to support reporting.