Data Engineer - Manila

Para lamang sa mga rehistradong miyembro Manila, Pilipinas

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Buong oras ₱700,000 - ₱1,500,000 (PHP) bawat taon *

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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, ...

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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.

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