AWS Data Engineer: Build & Maintain Cloud Pipelines

IGO TECHONOLOGIES; Taguig; Hybrid; PHP 600,000 - 1,000,000; Full time

Job summary

IGO TECHNOLOGIES in the Philippines seeks a Data Engineer with hands-on SQL, Python, and AWS data services to build and monitor cloud-based data pipelines and infrastructure. The role emphasizes reliability, scalability, and data quality in a modern data landscape.

You will collaborate on data infrastructure, optimize ETL processes, and ensure data accuracy using S3, Redshift, Glue, IAM, and CloudWatch in a dynamic, fast-paced environment.

Qualifications

• Hands-on experience with SQL and Python required.
• Experience with AWS data services and cloud-based data pipelines preferred.
• Solid understanding of data engineering and ETL concepts.

Responsibilities

• Develop and maintain data processing and data integration solutions using SQL and Python.
• Support development and maintenance of data pipelines within AWS environments.
• Work with AWS S3 for data storage and management.
• Support data warehousing activities using AWS Redshift.
• Work with AWS Glue for data integration, transformation, and ETL processes.
• Manage and support AWS IAM, including roles, users, and policies.
• Monitor data pipelines and AWS resources using AWS CloudWatch.
• Support data synchronization (DataSync) and data transfer activities.
• Troubleshoot data pipeline, integration, and processing issues.
• Perform data validation and ensure data accuracy and consistency.

Skills

SQL

Python

Data engineering concepts

ETL concepts

Tools

AWS S3

AWS Redshift

AWS IAM

AWS Glue

AWS CloudWatch

AWS DataSync

Job description

IGO TECHNOLOGIES in the Philippines seeks a Data Engineer with hands-on SQL, Python, and AWS data services to build and monitor cloud-based data pipelines and infrastructure. The role emphasizes reliability, scalability, and data quality in a modern data landscape.

You will collaborate on data infrastructure, optimize ETL processes, and ensure data accuracy using S3, Redshift, Glue, IAM, and CloudWatch in a dynamic, fast-paced environment.