Data Engineer

12 hours ago

Metro Manila Philippines Prime Manpower Resources Development Inc Full time

3 days ago Be among the first 25 applicants

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Job Title: Data Engineer

Location: Makati

Work Setup: Hybrid (3x RTO 2x WFH per week)

Employment Type: Full-Time

Position Summary

We are seeking a skilled Data Engineer to design, build, and maintain scalable data pipelines and warehouse solutions. This role will focus on optimizing data workflows, ensuring data integrity, and implementing robust governance practices to support analytics and business intelligence. The ideal candidate will have expertise in cloud platforms, ETL development, and infrastructure automation.

Key Responsibilities

Data Warehouse Architecture & Design

  • Design and manage data warehouse architecture , ensuring scalability, performance, and alignment with business needs.
  • Develop optimized data models , schemas, and indexing strategies for efficient querying and large dataset handling.
  • Troubleshoot performance bottlenecks in data pipelines and warehouse systems.

ETL Development & Data Integration

  • Build and optimize ETL/ELT pipelines to ingest and transform data from diverse sources (APIs, databases, flat files).
  • Implement CI/CD practices for automated testing and deployment of data workflows.
  • Monitor data pipelines for anomalies and enforce data quality checks (validation, audits).

Data Governance & Security

  • Enforce role-based access control (RBAC) , encryption, and data masking to comply with privacy regulations (e.g., GDPR, HIPAA).
  • Classify data by sensitivity and document data lineage for traceability.
  • Partner with analysts, BI teams, and data scientists to deliver high-quality datasets for reporting.
  • Support complex data analysis to uncover trends and strategic insights.

Qualifications

Technical Skills

  • Proficiency in SQL, Python, or Scala for data processing.
  • Experience with cloud platforms (AWS, GCP, Azure) and tools like Snowflake, Redshift, or BigQuery .
  • Knowledge of ETL frameworks (Apache Airflow, dbt) and IaC (Terraform, Kubernetes).

Soft Skills

  • Strong problem-solving and performance-tuning abilities.
  • Excellent communication to bridge technical and business teams.

Preferred Experience

  • 3+ years in data engineering , with exposure to governance and warehousing .
  • Certifications in cloud data technologies or data governance .

Why Join Us?

  • Opportunity to shape enterprise-grade data infrastructure .
  • Collaborative, innovative environment with cutting-edge tools.
  • Competitive compensation and career growth.
Seniority level
  • Seniority level Mid-Senior level
Employment type
  • Employment type Full-time
Job function
  • Job function Information Technology
  • Industries Hospitals and Health Care and Insurance

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