Data Engineer Supervisor

Palawan Group of Companies; Mandaluyong; In loco; PHP 900.000 - 1.800.000; Tempo pieno

Descrizione del lavoro

Palawan Group of Companies in the Metro Manila area is seeking a Data Engineer Supervisor to lead design, development, and optimization of enterprise data platforms and pipelines. You will deliver scalable data solutions and guide a team of engineers to meet growing analytics needs.

You will drive data engineering best practices, governance, and collaboration with data analysts and scientists, while mentoring staff, reviewing code, and ensuring timely delivery of cloud-based data workloads using

Competenze

• Bachelor's degree in CS/IT/data engineering or related field.
• At least 5 years in data engineering, data warehousing, or data platform development.
• Experience leading, mentoring, or managing technical teams.
• Strong grasp of data governance, security, and quality management.

Mansioni

• Design and implement scalable data pipelines for ingestion, transformation, and storage.
• Build and maintain data warehouses and data lakes.
• Develop and optimize ETL/ELT processes for efficiency and reliability.
• Lead, mentor, and develop a team of Data Engineers.
• Conduct code reviews and enforce standards and best practices.
• Manage project timelines, priorities, and deliverables.
• Collaborate with Data Analysts, Data Scientists, and stakeholders to deliver data-driven solutions.

Conoscenze

Leadership

Communication

Analytical

Project planning

Formazione

Bachelor's Degree in Computer Science, Information Technology, Data Engineering, or a related field

Strumenti

Apache Airflow

AWS Data Services

Descrizione del lavoro

We are seeking a highly skilled Data Engineer Supervisor to lead the design, development, and optimization of enterprise data platforms and pipelines. This role is responsible for delivering scalable data solutions, driving data engineering best practices, and leading a team of engineers in supporting the organization's growing data and analytics needs.

Key Responsibilities

Data Engineering & Architecture

• Design and implement scalable data pipelines for data ingestion, transformation, and storage.
• Build and maintain data warehouses, data lakes, and cloud-based data platforms.
• Develop and optimize ETL/ELT processes to improve efficiency, reliability, and scalability.
• Support data governance, architecture, and quality management initiatives.
• Lead, mentor, and develop a team of Data Engineers.
• Conduct code reviews and enforce engineering standards and best practices.
• Manage project timelines, priorities, and deliverables.
• Foster a collaborative and high-performing team culture.

Platform Operations & Optimization

• Monitor and optimize data pipeline performance and reliability.
• Implement data validation, monitoring, and quality assurance controls.
• Troubleshoot and resolve complex data-related issues.
• Ensure compliance with data security and governance requirements.

Stakeholder Collaboration

• Partner with Data Analysts, Data Scientists, and business stakeholders to deliver data-driven solutions.
• Document data architectures, workflows, and technical processes.
• Communicate technical concepts effectively to both technical and non-technical audiences.

Qualifications

Education

• Bachelor's Degree in Computer Science, Information Technology, Data Engineering, or a related field.

Experience

• Minimum of 5 years of experience in Data Engineering, Data Warehousing, or Data Platform Development.
• Experience leading, mentoring, or managing technical teams.
• Proven experience designing and supporting large-scale data solutions.

Non-Negotiable Skills

• Strong hands-on experience with AWS and cloud-based data services.
• Proficiency in Python scripting, automation, and data processing.
• Experience handling, mentoring, or managing a team.

Technical Skills

• Advanced SQL and database development
• Data Warehousing and Data Lake architectures
• ETL/ELT development and optimization
• AWS Data Services
• Apache Airflow or similar orchestration tools
• Data Governance, Security, and Quality Management
• Performance Tuning and Troubleshooting

Soft Skills

• Leadership and people management
• Analytical and problem-solving skills
• Project planning and prioritization
• Excellent communication and documentation skills

Why Join Us?

• Lead the development of enterprise-scale data solutions.
• Work with modern cloud and data engineering technologies.
• Drive innovation and analytics capabilities across the organization.
• Mentor and develop a growing team of data professionals.
• Play a key role in shaping the company's data strategy.

If you're passionate about building scalable data platforms and leading high-performing engineering teams, we'd love to hear from you.