Data Engineer - Databricks & Cloud Platform

ERNI

Manila

Hybrid

PHP 1,200,000 - 1,800,000

Full time

2 days ago

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Job summary

ERNI Development Center Philippines invites a Data Engineer - Databricks & Cloud Data Platform to join our hybrid team in Mandaluyong. You will provide L2/L3 operational support for enterprise data platforms and collaborate with platform engineers, data engineers, product stakeholders, and operations teams to ensure reliability and performance of data processing environments.

Key responsibilities include incident investigation, troubleshooting Spark/PySpark workloads, cloud services on

Qualifications

Hands-on experience supporting or administering Databricks environments in production.
Experience supporting enterprise data pipelines and ETL/ELT processes.
Strong knowledge of Apache Spark, PySpark, and SQL.
Experience working with AWS and/or Azure cloud services.
Good understanding of data engineering principles and distributed processing architectures.
Python programming skills for automation, troubleshooting, and operational support.
Strong analytical and problem-solving capabilities.
Excellent verbal and written English communication skills.
Ability to create and maintain clear technical documentation and operational procedures.

Responsibilities

Provide operational support for Databricks-based enterprise data platforms.
Investigate and resolve incidents affecting data pipelines, workflows, clusters, integrations, and platform services.
Troubleshoot Spark, PySpark, Spark SQL, and ETL/ELT workloads running in production environments.
Monitor platform health and identify potential risks before they impact users and business processes.
Support incident management, root cause analysis, and problem management activities.
Collaborate with engineering, platform, and product teams to resolve complex technical issues.
Support data services deployed on AWS and/or Azure cloud platforms.
Create and maintain technical documentation, operational runbooks, and knowledge base articles.
Contribute to automation initiatives and service improvement opportunities.
Help improve operational efficiency, service reliability, and platform scalability.