Data Engineer: AWS ETL & Data Lake Specialist

Reed Elsevier Shared Services (Philippines) Inc Company; Manila; On-site; PHP 800,000 - 1,600,000; Full time

Job summary

RELX is seeking a data engineer in Manila to develop, test, and maintain ETL/ELT pipelines ingesting data from GA4, paid media, and social platforms. You will integrate data into the AWS data lake and implement data-quality checks.

The role requires 2–5 years of data engineering experience, proficiency in SQL and Python, and familiarity with API ingestion, Git workflows, and cloud-based data platforms. On-site in Manila with a focus on governance and collaboration.

Qualifications

• Bachelor’s degree in Engineering, Computer Science, Information Technology, or a related discipline, or equivalent practical experience.
• Typically 2–5 years of experience in data engineering, database development, software engineering, analytics engineering, or a related role.
• Working proficiency in SQL and Python.
• Experience developing or supporting ETL/ELT pipelines.
• Hands-on experience with AWS or another cloud-based data platform.
• Experience working with relational databases such as PostgreSQL, Microsoft SQL Server, or Oracle.
• Experience processing structured and semi-structured formats such as JSON, CSV, and Parquet.
• Familiarity with API ingestion, authentication, pagination, batch processing, incremental loading, and data validation.
• Familiarity with Git, pull requests, code reviews, testing, and deployment workflows.
• Ability to investigate data issues and communicate progress, risks, and blockers clearly.
• Ability to collaborate with technical and business stakeholders in a global environment.
• Strong problem-solving, organizational, documentation, and communication skills.
• Ability to work 8 hours of overlap with [Eastern/Central] US business hours.
• Ability to quickly learn and apply enterprise AI tools and technologies to support technical workflows and business objectives.

Responsibilities

• Develop, test, and maintain ETL/ELT pipelines that ingest data from third-party sources.
• Build and support API and batch-ingestion workflows, including pagination, rate-limit handling, retries, and incremental loads.
• Integrate data into the AWS data lake (S3, Glue, Athena, CloudWatch).
• Transform data into reusable datasets with normalization, deduplication, and validation.
• Monitor pipelines and troubleshoot data-quality, performance, and schema issues.
• Implement data-quality checks and communicate failures or risks to the team.
• Maintain technical documentation for data sources, mappings, transformations, and procedures.
• Collaborate with Sr. Engineers and stakeholders to translate requirements into tasks.
• Ensure data-governance, privacy, consent, access, and retention requirements.

Skills

SQL

Python

ETL/ELT pipelines

Data engineering

AWS

Education

Bachelor’s degree in Engineering/CS/IT or related field

Tools

PostgreSQL

Microsoft SQL Server

Oracle

Git

Databricks

PySpark

Airflow

AWS S3

AWS Glue

AWS Athena

CloudWatch

Job description

RELX is seeking a data engineer in Manila to develop, test, and maintain ETL/ELT pipelines ingesting data from GA4, paid media, and social platforms. You will integrate data into the AWS data lake and implement data-quality checks.

The role requires 2–5 years of data engineering experience, proficiency in SQL and Python, and familiarity with API ingestion, Git workflows, and cloud-based data platforms. On-site in Manila with a focus on governance and collaboration.