Data Platform Engineer — AWS Glue, PySpark & ETL

Accenture in the Philippines; Philippines; On-site; PHP 900,000 - 1,200,000; Full time

Job summary

Accenture in the Philippines is seeking a Data Platform Engineer to assist with designing and building the data platform architecture. The role involves collaborating with Integration and Data Architects to ensure cohesive data models and system integration.

The position emphasizes hands-on development of ETL/ELT pipelines using AWS Glue, Python, PySpark, and related AWS data services, along with automation, performance tuning, and CI/CD support to deliver scalable data solutions.

Qualifications

• 3+ years of hands-on experience in data engineering, ETL/ELT development, or cloud-based data integration.

Responsibilities

• Serve as SME for AWS Glue-based data integration and ETL solutions.
• Design, develop, maintain, and optimize ETL/ELT pipelines using AWS Glue, Python, PySpark, and AWS data services.
• Develop reusable frameworks and automation to improve data engineering efficiency.
• Troubleshoot and resolve complex data processing, performance, and integration issues across environments.
• Monitor and optimize data pipelines for performance, scalability, and cost.
• Work with AWS services (S3, Glue Data Catalog, Lambda, IAM, CloudWatch, Step Functions, Redshift) to build end-to-end data solutions.
• Support CI/CD implementation, code reviews, testing, and deployment for data engineering solutions.

Skills

AWS Glue

Python

PySpark

SQL

Data pipelines

Data lakes

Data warehousing

Data governance

CI/CD

Agile

Communication

Tools

S3

Lambda

IAM

CloudWatch

Step Functions

Redshift

Job description

Accenture in the Philippines is seeking a Data Platform Engineer to assist with designing and building the data platform architecture. The role involves collaborating with Integration and Data Architects to ensure cohesive data models and system integration.

The position emphasizes hands-on development of ETL/ELT pipelines using AWS Glue, Python, PySpark, and related AWS data services, along with automation, performance tuning, and CI/CD support to deliver scalable data solutions.