Data Engineer - Databricks & Cloud Data Platform

ERNI; Manila; Hybrid; PHP 900,000 - 1,400,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

ERNI in Manila, Philippines, is seeking a Data Engineer – Databricks & Cloud Data Platform to provide L2/L3 operational support for enterprise data platforms. You will work with platform engineers, data engineers, and operations teams to ensure reliability, performance, and scalability of data processing environments.

Responsibilities include investigating incidents, troubleshooting pipelines, supporting cloud-native services on AWS and Azure, and creating runbooks and knowledge base articles.

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.

Skills

Databricks

PySpark

SQL

Python

AWS/Azure

Data pipelines

Troubleshooting

English communication

Tools

Airflow

Azure Data Factory

AWS Glue

Git

Jenkins

Job description

Founded in 1994 and headquartered in Switzerland,ERNIis a leading Software Development company with over 800 employees worldwide. Specializing in IT and software engineering, we drive innovation in process and technology. Our first service center in Asia Pacific, located in Metro Manila (Mandaluyong), supports clients across Europe, APAC, the Philippines, and the USA. As we continue to grow, we're looking for passionate and motivated individuals to join our team.

Why ERNI is the Perfect Place for You:

• International Exposure:Work with global clients on cutting-edge projects.
• Inclusive Culture:Thrive in a collaborative and diverse work environment.
• Career Development:Enjoy continuous learning and professional growth opportunities.

Growth and Opportunities:

• Challenging Projects:Engage in complex software projects across MedTech, Industry, Finance, and Transportation.
• Supportive Environment:Benefit from a team dedicated to guiding and supporting yoursuccess.
• Recognition and Advancement:Receive acknowledgment for your efforts and opportunities for promotion.
• Open Communication:Experience transparency and value your input in our culture.

What are our wishes?

• 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.

Nice to Have

• Databricks certifications.
• Experience with Airflow, Azure Data Factory, AWS Glue, or other workflow orchestration tools.
• Experience with Git, Jenkins, CI/CD pipelines, containers, and DevOps practices.
• Familiarity with ITIL-based service management environments.
• Experience with ServiceNow or similar IT Service Management (ITSM) platforms.
• Exposure to enterprise-scale cloud data platform operations.

How can you contribute to the team?

As a Data Engineer - Databricks & Cloud Data Platform, you will provide L2/L3 operational support for enterprise data platforms and services. You will work closely with platform engineers, data engineers, product stakeholders, and operations teams to ensure the reliability, stability, and performance of data processing environments. You will investigate incidents, troubleshoot data pipelines, support cloud-native services, contribute to operational excellence initiatives, and help drive continuous service improvements across the data platform landscape.

• 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.

Work Setup

Work Setup: Hybrid ( required to report onsite at least once a week, subject to project and business needs) Work Schedule: 9:00 AM - 6:00 PM, Manila Time Type: Project-based (minimum 1 year, subject to extension) / Staff Augmentation