Data Engineer

Data Engineer/Steward

Location: Manila – BGC, Taguig City

Work Setup: Hybrid / Onsite (as required)

Schedule: Full-Time

Role Overview

We are looking for a Data Engineer/Steward 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.

• Support Data Leads in implementing and managing data quality initiatives

• Conduct data profiling to assess data quality and identify data issues

• Execute data cleansing processes to correct inaccuracies and standardized data for consistency

• Monitor and report on data quality metrics

• 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.

Education & Certifications

• 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.

Must-Have Technical Skills

• 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.

Bonus / Preferred Skills

• Familiarity with data visualization/BI tools (LokkerStudio).

• Knowledge of CI/CD pipelines for data workflows.

• Experience with data lake or data warehouse architectures.

Additional Qualities

• Strong analytical mindset and problem-solving skills.

• Excellent communication and collaboration skills.

• Detail-oriented with the ability to deliver in fast-paced environments.