Data Engineer – Databricks & Cloud Data Platform

ERNI

Mandaluyong

Hybride

PHP 893 000 - 1 339 000

Plein temps

Il y a 7 heures

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Résumé du poste

ERNI Development Center Philippines in Mandaluyong seeks a Data Engineer to join our Databricks and cloud data platform team. You will provide L2/L3 operational support for enterprise data platforms, troubleshoot data pipelines, and ensure reliability across cloud services.

You will collaborate with platform engineers, product stakeholders, and operations teams to drive continuous service improvements. Join a cross-border environment with global clients and opportunities for professional growth

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.
Experience troubleshooting complex technical and operational issues.
Excellent verbal and written English communication skills.
Ability to create and maintain clear technical documentation and operational procedures.

Responsabilités

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.