Data Engineer — Build Scalable Pipelines for AI & Analytics

ECLARO; Quezon City; On-site; PHP 900,000 - 1,500,000; Full time

Job summary

ECLARO is seeking a Data Engineer to design, build, and optimize scalable data pipelines and services powering analytics, AI/ML, and internal applications. The role centers on ingestion, transformation, validation, and delivery of diverse data in a cloud-native environment.

You will own end-to-end ETL/ELT workflows, design robust data models, expose data via APIs and data services, and partner with analytics, platform, and AI teams to ensure high quality, governance, and performance.

Qualifications

• End-to-end ownership of ETL/ELT pipeline design, development, deployment, and monitoring.
• Design scalable data models and governance strategies for trusted data.
• Build robust data ingestion, validation, cleansing, and quality checks.
• Develop APIs and data services exposing graph and enterprise data for internal apps.
• Collaborate with analytics, platform, and AI teams to ensure data readiness and performance.

Responsibilities

• Build robust ETL/ELT workflows that handle structured, semi-structured, and unstructured data at scale.
• Design data models and ontologies to maximize analytical value.
• Implement data validation, cleansing, reconciliation, and integrity checks.
• Develop APIs and data services for internal applications and platforms.
• Optimize queries and data workflows for performance and scalability.
• Collaborate with subject matter experts to integrate new data sources.
• Maintain documentation for pipelines, data models, lineage, and integration processes.
• Monitor ETL/ELT processes for efficiency and data quality.

Skills

Python

ETL/ELT Design

Pandas

SQLAlchemy

PySpark

Airflow

APIs

Data Governance

Education

Bachelor’s degree or higher in CS/CE/DS

Tools

Relational databases

NoSQL databases

Data warehouses

API development

Job description

ECLARO is seeking a Data Engineer to design, build, and optimize scalable data pipelines and services powering analytics, AI/ML, and internal applications. The role centers on ingestion, transformation, validation, and delivery of diverse data in a cloud-native environment.

You will own end-to-end ETL/ELT workflows, design robust data models, expose data via APIs and data services, and partner with analytics, platform, and AI teams to ensure high quality, governance, and performance.