Hybrid Data Engineer: Scale Pipelines & Cloud Data Lakes

Stratpoint Technologies; Mandaluyong; Hybrid; PHP 600,000 - 1,000,000; Full time

Benefits offered by this job

Hybrid work model

Open office spaces for collaboration

Job summary

Stratpoint Technologies is seeking a Data Engineer to design, develop, and manage data pipelines and architectures. You will ensure data flows from multiple sources into databases, data lakes or warehouses to support business analysis and decision-making.

The role emphasizes strong software engineering, data processing frameworks, and the ability to optimize and scale large data systems within a hybrid work environment.

Qualifications

• Degree in Computer Engineering, Data Science, Statistics, Physics or related IT field.
• Experience with Agile methodologies (Scrum/Kanban).
• Proficient in Python, SQL and PySpark for data processing.

Responsibilities

• Design, build, and maintain scalable data pipelines from various sources.
• Maintain databases, data warehouses, and data lakes ensuring integrity and scalability.
• Implement ETL/ELT processes to automate data collection, cleaning, and transformation.
• Integrate data from internal and external sources, including APIs and cloud storage.
• Optimize data architectures for performance and cost efficiency.
• Collaborate with data team to deliver reliable, clean data solutions.
• Implement data validation and monitoring to ensure accuracy.
• Manage cloud infrastructure (AWS, Azure) for storage and processing.
• Automate repetitive tasks using Python and SQL; document architectures.
• Provide live verification and testing before production.
• Support data extraction and reporting as required.

Skills

Python

PySpark

SQL

DAX

Azure

AWS

ETL/ELT

APIs

Databricks

Education

Bachelor's degree in Computer Engineering / Data Science / Statistics / Physics

Tools

Github

Databricks

AWS

PowerBI

Linux

Job description

Stratpoint Technologies is seeking a Data Engineer to design, develop, and manage data pipelines and architectures. You will ensure data flows from multiple sources into databases, data lakes or warehouses to support business analysis and decision-making.

The role emphasizes strong software engineering, data processing frameworks, and the ability to optimize and scale large data systems within a hybrid work environment.