Data Engineer

Global Recruitment and Consultancy OPC; Manila; On-site; PHP 670,000 - 1,339,000; Full time

Job summary

Global Recruitment and Consultancy OPC in Manila is hiring a Data Engineer to design, build, and maintain scalable data pipelines using Databricks and Spark. The role focuses on transforming raw data into high-quality datasets and supporting data-driven decisions.

You will optimize SQL, develop Snowflake schemas, manage Unity Catalog permissions, and collaborate with cross-functional teams to improve data processes. At least 2 years of hands-on Databricks experience is required.

Qualifications

• Hands-on experience with Databricks Unified Data Analytics Platform.
• Strong knowledge of data pipeline architecture and data integration.
• Experience with Spark/PySpark, ETL/ELT, and SQL optimization.
• Familiarity with cloud-based data platforms and distributed computing.

Responsibilities

• Design, develop, and maintain scalable data pipelines using Databricks and Spark.
• Build batch and streaming data workflows.
• Implement ETL/ELT processes to transform raw data into curated datasets.
• Optimize SQL queries and design Snowflake schemas, including fact and dimension tables.
• Manage data access controls and permissions using Unity Catalog.
• Monitor data quality, pipeline performance, and reliability.
• Collaborate with cross-functional teams to improve data processes and solutions.
• At least 2 years of hands-on experience with Databricks Unified Data Analytics Platform.

Skills

Databricks

Spark

SQL

ETL/ELT

Data pipelines

Problem solving

Tools

Snowflake

Unity Catalog

Cloud platforms

Job description

Are you passionate about building scalable data solutions and optimizing data workflows? Join the team and help transform raw data into reliable, high-quality datasets!

• Design, develop, and maintain scalable data pipelines using Databricks and Apache Spark.
• Build and manage batch and streaming data workflows.
• Implement ETL/ELT processes to transform raw data into curated datasets.
• Optimize SQL queries and design Snowflake schemas, including fact and dimension tables.
• Manage data access controls and permissions using Unity Catalog.
• Monitor data quality, pipeline performance, and reliability.
• Collaborate with cross-functional teams to improve data processes and solutions.
• At least 2 years of hands-on experience with Databricks Unified Data Analytics Platform.
• Strong knowledge of data pipeline architecture, data integration, and transformation.
• Experience with Apache Spark/PySpark, ETL/ELT, and SQL query optimization.
• Familiarity with cloud-based data platforms and distributed computing.
• Strong analytical, troubleshooting, and problem-solving skills.