Data Engineer

Location: Ortigas

Work Setup: Onsite (as required)

Role Overview

We are looking for a Data Engineer to join our growing technology team and play a key role in building and optimizing our data infrastructure. The role will focus on developing data pipelines, integrating master data into AWS environments, and supporting ETL/ELT processes to generate accurate reports and analytics for business stakeholders.

This role is highly collaborative, working closely with data leads and cross-functional teams to ensure that data is reliable, consistent, and usable for decision-making.

Key Responsibilities

• Design, build, and maintain data pipelines to ingest SunCBS master data into AWS Data Hive.
• Develop and optimize ETL/ELT workflows leveraging SQL, Python, and AWS-native tools (S3, Redshift, EC2, Lambda, Glue, etc.).
• Collaborate with CSB Data Leads to understand master data structures, mappings, and reporting requirements.
• Build, validate, and test queries for MVP and Feed Reports to ensure accuracy and performance.
• Maintain clear documentation of data processes, data dictionaries, and system integrations.
• Monitor and troubleshoot data pipelines, ensuring high availability and reliability.
• Implement best practices for data governance, quality, and security in alignment with organizational standards.
• Provide support for ad hoc data analysis requests and collaborate with BI/Analytics teams.
• Bachelors degree in Computer Science, Information Technology, Data Engineering, or related field.
• AWS certifications (e.g., AWS Certified Data Analytics, AWS Solutions Architect) are an advantage.

Experience & Background

• 3+ years experience as a Data Engineer or in a similar role.
• Strong proficiency in SQL and Python for data processing and scripting.
• Hands-on experience with AWS services: S3, Redshift, EC2, Glue, Lambda, and related data tools.
• Familiarity with ETL/ELT design patterns, data modeling, and pipeline automation.
• Exposure to data governance, data quality, and documentation practices.
• Experience with agile/scrum delivery models is a plus.
• Advanced SQL development and performance tuning.
• Python programming for ETL/automation.
• AWS-native tools for data ingestion, storage, and analytics.
• Ability to work with structured and semi-structured datasets.
• Familiarity with data visualization/BI tools (Tableau, Power BI, QuickSight).
• Knowledge of CI/CD pipelines for data workflows.
• Experience with data lake or data warehouse architectures.
• Strong analytical mindset and problem-solving skills.
• Excellent communication and collaboration skills.
• Detail-oriented with the ability to deliver in fast-paced environments.