Senior Data Engineer

Jobtailor; Philippines; On-site; PHP 600,000 - 900,000; Full time

Job summary

Jobtailor is seeking a data engineer to design, build, and maintain scalable data pipelines and enterprise data platforms in a Philippines-based role. You will integrate data from diverse sources, ensure data quality, and support analytics across the organization.

The role emphasizes technical leadership, collaboration with data teams, and delivering reliable data solutions aligned with governance and security requirements.

Qualifications

• Deep expertise in cloud-based data platforms.
• Experience with data warehousing.
• Experience with ETL/ELT development.
• Experience with data modeling.
• Experience with enterprise application integrations.
• Ability to design, develop, implement, and maintain scalable data solutions.
• Ability to develop and optimize enterprise data platforms, data pipelines, and data integration frameworks.
• Ability to establish data quality controls, validation processes, and monitoring mechanisms.
• Knowledge of data governance, compliance, security, and privacy requirements.
• Ability to troubleshoot data integration issues and perform root cause analysis.
• Ability to mentor junior data engineers and provide technical leadership.

Responsibilities

• Design, develop, and maintain scalable data pipelines and integration solutions.
• Build and optimize ETL/ELT workflows to ingest, transform, validate, and load data.
• Develop and maintain enterprise data warehouses, data marts, and analytical datasets.
• Design and implement logical and physical data models.
• Integrate data from APIs, enterprise applications, flat files, connectors, and scheduled data feeds.
• Translate business requirements into technical data solutions.
• Establish data quality controls, validation processes, and monitoring mechanisms.
• Create and maintain metadata, data dictionaries, lineage documentation, and technical specifications.
• Optimize database performance, query efficiency, and data processing capabilities.
• Support enterprise work management and workflow platforms and their integrations.
• Develop reusable data engineering frameworks, standards, and best practices.
• Enable scalable reporting and self-service analytics.
• Troubleshoot data integration issues, perform root cause analysis, and implement sustainable solutions.
• Support data governance, compliance, security, and privacy requirements.
• Mentor junior data engineers and provide technical leadership on complex data initiatives and enterprise projects

Skills

Cloud-Based Data Platforms

Data Warehousing

ETL/ELT Development

Data Modeling

Data Governance

Tools

APIs

Enterprise Applications

Data Warehouses

Data Marts

Workflow Platforms

Job description

• Design, develop, and maintain scalable data pipelines and integration solutions
• Build and optimize ETL/ELT workflows to ingest, transform, validate, and load data
• Develop and maintain enterprise data warehouses, data marts, and analytical datasets
• Design and implement logical and physical data models
• Integrate data from APIs, enterprise applications, flat files, connectors, and scheduled data feeds
• Translate business requirements into technical data solutions
• Establish data quality controls, validation processes, and monitoring mechanisms
• Create and maintain metadata, data dictionaries, lineage documentation, and technical specifications
• Optimize database performance, query efficiency, and data processing capabilities
• Support enterprise work management and workflow platforms and their integrations
• Develop reusable data engineering frameworks, standards, and best practices
• Enable scalable reporting and self-service analytics
• Troubleshoot data integration issues, perform root cause analysis, and implement sustainable solutions
• Support data governance, compliance, security, and privacy requirements
• Mentor junior data engineers and provide technical leadership on complex data initiatives and enterprise projects

Requirements

• Deep expertise in cloud-based data platforms
• Experience with data warehousing
• Experience with ETL/ELT development
• Experience with data modeling
• Experience with enterprise application integrations
• Ability to design, develop, implement, and maintain scalable data solutions
• Ability to develop and optimize enterprise data platforms, data pipelines, and data integration frameworks
• Ability to establish data quality controls, validation processes, and monitoring mechanisms
• Knowledge of data governance, compliance, security, and privacy requirements
• Ability to troubleshoot data integration issues and perform root cause analysis
• Ability to mentor junior data engineers and provide technical leadership

Core Competencies

Demonstrates expertise in designing and developing scalable data pipelines, ETL/ELT workflows, and enterprise data solutions while ensuring data quality, governance, and compliance. Provides technical leadership and mentorship to junior data engineers on complex data initiatives.

Highest-signal resume keywords

• Cloud-Based Data Platforms
• Data Warehousing
• ETL/ELT Development
• Data Modeling
• Data Governance

ATS Optimization Keywords

Hard Skills

• Data Pipeline Development
• ETL/ELT Workflows
• Data Integration Frameworks
• Data Quality Controls
• Root Cause Analysis
• Data Modeling
• Database Performance Optimization
• Data Transformation
• Data Validation Processes
• Metadata Management

Soft Skills

• Technical Leadership
• Mentoring

Industry Keywords

• Data Governance
• Compliance
• Security
• Privacy Requirements

Tools & Technologies

• APIs
• Enterprise Applications
• Data Warehouses
• Data Marts
• Workflow Platforms