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Data Engineer

Manila💼 Full-time🗓 2026-07-13 → 2026-10-02

Core

Design, develop, and maintain scalable data pipelines and ETL/ELT processes for data generation, collection, and processing across various systems.

Builds

Scalable batch and streaming data workflows, curated datasets, and data pipelines

Domain

Cloud data platforms and distributed computing

Required skills

Databricks Unified Data Analytics Platform, data pipeline architecture, data integration and transformation, cloud-based data platforms, distributed computing, query optimization, data access controls

Preferred skills

Snowflake schema design, fact dimension table creation, Unity Catalog, performance monitoring, documentation

Technologies

Apache Spark, Databricks, Snowflake, Unity Catalog

Responsibilities

Design and implement scalable data pipelines using Apache Spark within Databricks; Implement ETL/ELT processes to transform raw data into curated datasets; Optimize queries for speed and efficiency; Implement data access controls and permissions using Unity Catalog; Monitor and optimize data pipelines for performance and reliability; Document data processes and workflows

Seniority

Mid-level, hands-on IC