Databricks & Cloud Data Platform Engineer

ERNI - Swiss Software Engineering; Mandaluyong; Hybrid; PHP 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Hybrid work environment

Job summary

ERNI - Swiss Software Engineering in Manila is seeking a Data Engineer to support Databricks-based data platforms and cloud services. You will work with platform engineers and data teams to ensure reliability, performance, and scalable data processing in production.

The role emphasizes hands-on data engineering, incident response, and collaboration across AWS/Azure environments, with a hybrid work setup and a 9:00 AM–6:00 PM Manila schedule.

Qualifications

• Hands-on experience supporting or administering Databricks environments in production.
• Experience supporting enterprise data pipelines and ETL/ELT processes.
• Strong knowledge of Spark, PySpark, Spark SQL.
• Experience with AWS and/or Azure cloud services.
• Good understanding of data engineering principles and distributed processing.

Responsibilities

• Provide L2/L3 operational support for enterprise data platforms and services.
• Investigate incidents, troubleshoot data pipelines, and resolve platform issues.
• Troubleshoot Spark, PySpark, Spark SQL, and ETL/ELT workloads in production.
• Monitor platform health and drive service improvements and automation.
• Collaborate with platform, engineering, and product teams to resolve complex issues.

Skills

Databricks

PySpark

Apache Spark

SQL

Python

ETL/ELT

Airflow

AWS

Azure

Git

Jenkins

CI/CD

Containers

Tools

Git

Jenkins

CI/CD pipelines

Containers

Job description

ERNI - Swiss Software Engineering in Manila is seeking a Data Engineer to support Databricks-based data platforms and cloud services. You will work with platform engineers and data teams to ensure reliability, performance, and scalable data processing in production.

The role emphasizes hands-on data engineering, incident response, and collaboration across AWS/Azure environments, with a hybrid work setup and a 9:00 AM–6:00 PM Manila schedule.