Data Engineer

Pointwest Squad Inc; Mandaluyong; Sur place; PHP 700 000 - 1 100 000; Plein temps

Résumé du poste

Pointwest Squad Inc in Metro Manila is seeking a data engineer to design, build, and maintain scalable data pipelines for ingestion, transformation, and storage, leveraging AWS to integrate data across systems. You will implement data quality and governance, automate workflows, and collaborate with data scientists and analysts to deliver analytics-ready datasets for dashboards and reporting.

This role focuses on optimizing pipeline performance and cost, staying current with cloud data

Qualifications

• Minimum 2-3 years of relevant experience in data engineering.
• Strong expertise in AWS cloud services.
• Experience with data quality checks, governance, and security practices.
• Excellent collaboration with data scientists, analysts, and business users.
• Ability to deliver analytics-ready datasets for reporting and dashboards.
• Knowledge of data architecture and best practices.

Responsabilités

• Design, develop, and maintain scalable data pipelines for data ingestion, transformation, and storage.
• Build and manage ETL/ELT workflows to integrate data from multiple internal and external systems.
• Develop and maintain data warehouses, data lakes, and hybrid storage solutions.
• Monitor and optimize pipeline performance, reliability, and cost efficiency.

Connaissances

AWS

Description du poste

• Experience: Minimum of 2-3 years relevant experience
• Technical Requirement: Strong expertise in AWS

• Design, develop, and maintain scalable data pipelines for data ingestion, transformation, and storage.
• Build and manage ETL/ELT workflows to integrate data from multiple internal and external systems.
• Develop and maintain data warehouses, data lakes, and hybrid storage solutions.
• Monitor and optimize pipeline performance, reliability, and cost efficiency.

Data Quality & Reliability

• Implement data quality checks, validations, and monitoring mechanisms.
• Identify and resolve data issues, anomalies, and pipeline failures.
• Ensure data accuracy, completeness, and consistency across platforms.
• Support continuous improvement of data reliability and availability.
• Collaborate with data scientists, analysts, and business users to understand data requirements.
• Deliver curated, analytics-ready datasets to support reporting, dashboards, and advanced analytics.
• Partner with Data Architects and Enterprise Architecture teams to ensure alignment with architectural standards.

Data Security & Governance Support

• Implement data engineering solutions that comply with data governance, security, and privacy policies.
• Apply access controls, data masking, and other protective measures where required.
• Support metadata management, documentation, and lineage tracking.

Documentation & Automation

• Create and maintain documentation such as data flow diagrams, pipeline designs, and data dictionaries.
• Automate data processing and operational tasks to reduce manual intervention and errors.
• Document operational procedures and troubleshooting guidelines.

Technology Evaluation & Continuous Improvement

• Evaluate and adopt new data tools, platforms, and engineering practices.
• Stay current with trends in big data, cloud platforms, and data engineering frameworks.
• Recommend improvements to data infrastructure and processing efficiency.