Remote Data Engineer: SQL, Python & AWS (6-Month Contract)

Emapta; Metro Manila; Remote; PHP 1,117,000 - 1,338,000; Full time

Benefits offered by this job

Night differential pay

Permanent WFH arrangement

EMAPTA Academy training

Job summary

Emapta Philippines is seeking a Data Engineering Specialist to reliably troubleshoot data pipelines using SQL, Python, and AWS. This 6-month project-based role offers permanent work-from-home with night shifts and international exposure.

You will own complex data fixes, drive root-cause analysis, and deliver solid data solutions for global clients. The ideal candidate has 3–5 years in data engineering, strong SQL skills, Python proficiency, and experience with cloud data tools such as AWS,

Qualifications

• 3-5 years of professional experience in data engineering, database management, or a comparable data-focused role.
• Intermediate to advanced SQL expertise with complex queries, CTEs, joins and data extraction across sources.
• Working proficiency in Python with data-related scripts.
• Practical experience with AWS and cloud-based data technologies; knowledge of MySQL, Redshift, Athena, and S3 preferred.
• Open to a 6-month project-based engagement; able to adapt to cloud platforms and fast-paced environments.

Responsibilities

• Diagnose and resolve data engineering or database issues.
• Analyze tickets to identify root causes and craft effective solutions.
• Develop and implement technical fixes and data solutions.
• Provide accurate data and clear resolutions to stakeholders.

Skills

SQL expertise

Python

Analytical thinking

Troubleshooting

Data analysis

Tools

MySQL

Amazon Redshift

Athena

S3

Azure

GCP

Job description

Emapta Philippines is seeking a Data Engineering Specialist to reliably troubleshoot data pipelines using SQL, Python, and AWS. This 6-month project-based role offers permanent work-from-home with night shifts and international exposure.

You will own complex data fixes, drive root-cause analysis, and deliver solid data solutions for global clients. The ideal candidate has 3–5 years in data engineering, strong SQL skills, Python proficiency, and experience with cloud data tools such as AWS,