Data Operations Engineer - Hybrid (AU Retail)

ConnectOS; Mandaluyong; Hybrid; PHP 700,000 - 1,100,000; Full time

Benefits offered by this job

Hybrid work arrangement

Medical, dental & life insurance from

Vacation & sick leave

Annual appraisal & salary review

13th month pay

Team events & wellness facilities

On-site Mega Tower, Mandaluyong

Job summary

ConnectOS is seeking a proactive Data Operations Engineer in Metro Manila to manage data transfers, optimise file transfer systems, and ensure reliable data feeds across platforms. The role covers ETL, data platforms, and analytics infrastructure with on-call responsibilities and hybrid onsite work 2–3 days weekly.

The ideal candidate has 3–5 years in data management, strong AWS experience (S3/EC2/RDS/IAM), and familiarity with Snowflake, Postgres, and Oracle.

Qualifications

• 3–5 years of experience in data management, ETL, and DB administration.
• Strong knowledge of AWS data services including S3, EC2, RDS, IAM, Lambda, CloudFormation.
• Experience with Snowflake, Oracle, and Postgres data platforms.
• Proficiency building CI/CD pipelines with GitLab, Jenkins or CircleCI.

Responsibilities

• Oversee data transfers across multiple systems and platforms.
• Maintain and optimise file transfer systems and data feeds.
• Administer Power BI, DBT Cloud, and Hightouch.
• Operate analytics infrastructure such as Control-M, Sagemaker, and Airflow.
• Ensure ETL processes are secure, efficient, and reliable; handle on-call duties.
• Conduct routine maintenance, vulnerability patching and version upgrades.

Skills

ETL & Data Management

AWS Data Services

Snowflake

CI/CD Pipelines

Power BI

SQL Databases

Data Analytics Infra

Education

Bachelor's degree in CS/IT

Tools

Talend

Qlik

Hightouch

GitLab

Jenkins

CircleCI

Job description

ConnectOS is seeking a proactive Data Operations Engineer in Metro Manila to manage data transfers, optimise file transfer systems, and ensure reliable data feeds across platforms. The role covers ETL, data platforms, and analytics infrastructure with on-call responsibilities and hybrid onsite work 2–3 days weekly.

The ideal candidate has 3–5 years in data management, strong AWS experience (S3/EC2/RDS/IAM), and familiarity with Snowflake, Postgres, and Oracle.