Data Engineer

IT Managers, Inc.; Taguig; Hybrid; PHP 700,000 - 1,100,000; Full time

Job summary

IT Managers, Inc. is seeking a Data Engineer in Metro Manila to design, build, and maintain scalable data pipelines and ETL/ELT processes using SQL and Python, with a strong focus on AWS services.

You will optimize data warehousing solutions on Amazon Redshift, manage data in S3, and ensure security, reliability, and collaboration with cross-functional teams.

Qualifications

• At least 3 years of professional experience in Data Engineering or a related role.
• Strong proficiency in SQL.
• Strong programming experience with Python.
• Hands-on experience with AWS services: S3, Redshift, IAM, Glue, CloudWatch, DataSync.
• Experience developing and maintaining ETL/ELT or data integration pipelines.
• Understanding of data warehousing concepts and database design.
• Strong troubleshooting and problem-solving skills.
• Good understanding of cloud security, access management, and data protection practices.
• Ability to work independently while collaborating with cross-functional teams.

Responsibilities

• Design, develop, and maintain scalable data pipelines and ETL/ELT processes.
• Develop and optimize SQL queries for data transformation, analysis, and reporting.
• Build and maintain data processing solutions using Python.
• Manage and organize data stored in Amazon S3.
• Develop and maintain data warehouse solutions using Amazon Redshift.
• Configure and manage AWS IAM roles, users, and policies following security best practices.
• Develop and maintain data integration and ETL workflows using AWS Glue.
• Monitor data pipelines, applications, and AWS resources using Amazon CloudWatch.
• Implement and manage data transfer and synchronization processes using AWS DataSync.
• Troubleshoot data pipeline failures, performance issues, and data quality problems.
• Work with software engineers, analysts, and other stakeholders to understand data requirements and deliver reliable data solutions.
• Document data pipelines, processes, configurations, and technical procedures.
• Follow best practices for data security, access control, reliability, and scalability.

Skills

Data engineering

SQL

Python

Tools

AWS S3

AWS Redshift

AWS IAM

AWS Glue

AWS CloudWatch

AWS DataSync

CI/CD

Git

Infrastructure as Code

Job description

Required Qualifications

• At least 3 years of professional experience in Data Engineering or a related role.

• Strong proficiency in SQL.

• Strong programming experience with Python.

• Hands-on experience with:

  • AWS S3

  • AWS Redshift

  • AWS IAM - Roles, Users, and Policies

  • AWS Glue

  • AWS CloudWatch

  • AWS DataSync

• Experience developing and maintaining ETL/ELT or data integration pipelines.

• Understanding of data warehousing concepts and database design.

• Strong troubleshooting and problem-solving skills.

• Good understanding of cloud security, access management, and data protection practices.

• Ability to work independently while collaborating effectively with cross-functional teams.

Preferred Qualifications

• Experience with AWS-based data architecture and cloud data platforms.

• Experience with data quality, validation, and monitoring practices.

• Familiarity with CI/CD, Git, and infrastructure-as-code tools.

• Experience optimizing AWS data workloads for performance and cost.

• AWS certifications related to Data Engineering, Cloud, or Solutions Architecture are a plus.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines and ETL/ELT processes.

• Develop and optimize SQL queries for data transformation, analysis, and reporting.

• Build and maintain data processing solutions using Python.

• Manage and organize data stored in Amazon S3.

• Develop and maintain data warehouse solutions using Amazon Redshift.

• Configure and manage AWS IAM roles, users, and policies following security best practices.

• Develop and maintain data integration and ETL workflows using AWS Glue.

• Monitor data pipelines, applications, and AWS resources using Amazon CloudWatch.

• Implement and manage data transfer and synchronization processes using AWS DataSync.

• Troubleshoot data pipeline failures, performance issues, and data quality problems.

• Work with software engineers, analysts, and other stakeholders to understand data requirements and deliver reliable data solutions.

• Document data pipelines, processes, configurations, and technical procedures.

• Follow best practices for data security, access control, reliability, and scalability.