Remote Data Engineer & Analytics Specialist

Nityo Infotech Services Philippines Inc.; Makati; Remote; PHP 600,000 - 1,200,000; Full time

Job summary

Nityo Infotech Services Philippines Inc. seeks an Engineer – Data Analytics and Engineering to design and optimize data pipelines and analytics platforms. You will implement complex SQL, develop Python ETL processes, and collaborate across teams in a remote APAC/EST night-shift environment.

The role requires 4+ years in data or analytics engineering, strong cloud platform experience (Snowflake, AWS, Azure, Databricks), and excellent English communication.

Qualifications

• Degree in Computer Science, Software Engineering, Data Engineering, Mathematics, or related field.
• 4+ years in data engineering, software engineering, analytics engineering, or data integration.
• Advanced SQL: complex transformations, procedural logic, performance tuning, data modeling.
• Strong Python development.
• ETL/ELT pipeline development and support.
• Experience with Snowflake, AWS, Azure, Databricks, or similar cloud data platforms.
• Strong production troubleshooting and problem-solving skills.
• Excellent English communication.
• Able to work independently and collaborate across teams.

Responsibilities

• Design and optimize data pipelines and analytics platforms.
• Implement complex SQL queries and data models.
• Develop Python-based ETL processes and workflows.
• Collaborate with cross-functional teams across time zones.
• Troubleshoot production data issues and optimize performance.

Skills

Advanced SQL

Python development

ETL/ELT

English communication

Independent collaboration

Education

Degree in CS/SE/Math

Tools

Snowflake

AWS

Azure

Databricks

Job description

Nityo Infotech Services Philippines Inc. seeks an Engineer – Data Analytics and Engineering to design and optimize data pipelines and analytics platforms. You will implement complex SQL, develop Python ETL processes, and collaborate across teams in a remote APAC/EST night-shift environment.

The role requires 4+ years in data or analytics engineering, strong cloud platform experience (Snowflake, AWS, Azure, Databricks), and excellent English communication.