ernicareersph.teamtailor.com
Data Engineer - Databricks & Cloud Data Platform
Maintain and troubleshoot Databricks-based cloud data platforms, ensuring reliable ETL/ELT pipelines and Spark workloads on AWS or Azure for enterprise clients.
- Compensation
- Not disclosed
- Location
- Mandaluyong, PH
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- Not specified
- Category
- Data engineering
- Posted
Skills
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.
Full description
Founded in 1994 and headquartered in Switzerland, ERNI is 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 your success.
- 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.