Data Engineer
6 days ago• Indang, Philippines
Overview
The Data Engineer is responsible for designing, building, and maintaining data systems that support the organization's data-driven decision-making. This role collaborates with cross-functional stakeholders to understand data requirements, define data architectures, and implement robust data pipelines that empower business intelligence, analytics, and data office initiatives.
Key Responsibilities
- Data Pipeline Development
- Design, develop, and maintain ETL/ELT data pipelines to extract, transform, and load data from a variety of internal and external sources.
- Ensure pipelines are scalable, reusable, and aligned with best practices for data engineering.
- Automate data ingestion and workflow orchestration using industry-standard tools and frameworks.
- Data Quality & Reliability
- Implement rigorous data quality checks, validation rules, and monitoring processes.
- Ensure accuracy, consistency, completeness, and reliability of data across multiple systems and environments.
- Collaborate with business and technical teams to address data anomalies and ensure high-quality data outputs.
- System Optimization & Performance
- Optimize data systems and pipelines for performance, scalability, and cost efficiency.
- Troubleshoot and resolve data-related issues, performance bottlenecks, and system failures.
- Continuously evaluate and enhance the data architecture to support evolving business requirements.
Required
- Bachelor's Degree in Computer Science, Information Technology, Engineering, or a related field.
- Atleast 3 - 5 years' of experience in data engineering, data warehousing, or large-scale data system development.
- Proficiency in SQL and at least one programming language (e.g., Python).
- Experience with ETL tools, data orchestration platforms, and cloud services (Alteryx, AWS, Azure).
- Strong understanding of database systems, data modeling, and data architecture concepts.
Preferred
- Familiarity with data governance, and metadata management.
- Background working with BI teams, data analysts, or data engineers.
Key Competencies
- Strong analytical and problem‑solving skills.
- High attention to detail, especially regarding data accuracy and system reliability.
- Ability to collaborate with cross-functional teams in a fast-paced environment.
- Strong communication skills with both technical and non‑technical stakeholders.
Other Details:
- Shift: 3pm-12am
- Location: Cavite
- Work setup: Hybrid
Let us learn about you! Apply today.
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Client-provided location(s): Indang, Philippines
Job ID: Schneider_Electric-https://careers.se.com/jobs/108517?lang=en-us
Employment Type: FULL_TIME
Posted: 2026-02-12T18:52:07
Perks and Benefits
Health and Wellness
Parental Benefits
Work Flexibility
Office Life and Perks
Vacation and Time Off
Financial and Retirement
Professional Development
Diversity and Inclusion