Data Engineer

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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