Databricks Data Engineer - Cloud Pipelines & AI Enablement

PM Consulting; Cebu City; On-site; PHP 1,000,000 - 1,800,000; Full time

Job summary

PM Consulting seeks a Databricks Data Engineer to design, build, and optimize modern data platforms in a cloud environment. You will develop scalable pipelines with Databricks, Delta Lake, and PySpark, ensuring data quality and enabling advanced analytics and AI use cases.

The role requires strong Python skills, experience with data modeling and data warehousing, and building production-grade data solutions on cloud platforms.

Qualifications

• At least 2 years of experience in data engineering or related roles.
• Strong hands-on experience with Python and PySpark for data processing.
• Proven experience building data pipelines in cloud-based environments.
• Solid understanding of data modeling, data warehousing, and ETL/ELT concepts.
• Experience working with large-scale, distributed data systems.

Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines for data ingestion, transformation, and processing.
• Build high-performance data workflows using the Databricks ecosystem, including Delta Lake and structured streaming capabilities.
• Implement reusable data transformation and validation logic for consistency across pipelines.
• Ensure data quality, integrity, and reliability across all data processing stages.
• Develop and deploy data solutions on at least one major cloud platform (AWS).
• Configure secure data environments, including access controls, auditing, and data governance.
• Enable cross-platform data access and sharing using modern data architecture patterns.
• Package and deploy data pipelines using CI/CD practices and version control systems.

Skills

Analytical skills

Attention to detail

Independent working

Communication skills

Adaptability

Tools

Delta Lake

SQL

Apache Airflow

Hadoop

Kafka

Hive

Informatica

Talend

Matillion

Fivetran

dbt

Databricks

Job description

PM Consulting seeks a Databricks Data Engineer to design, build, and optimize modern data platforms in a cloud environment. You will develop scalable pipelines with Databricks, Delta Lake, and PySpark, ensuring data quality and enabling advanced analytics and AI use cases.

The role requires strong Python skills, experience with data modeling and data warehousing, and building production-grade data solutions on cloud platforms.