Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems.

Roles & Responsibilities:

Expected to be an SME.

Collaborate and manage the team to perform.

Responsible for team decisions.

Engage with multiple teams and contribute on key decisions.

Provide solutions to problems for their immediate team and across multiple teams.

Develop innovative data solutions.

Implement data architecture principles effectively.

Optimize data pipelines for efficiency.

Summary:

As a Data Engineer, you will be responsible for designing, developing, and maintaining data solutions for data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across systems.

Professional & Technical Skills:

Required Skill: Expert proficiency in Data Architecture Principles

Experience with Microsoft Azure Data Services

Strong understanding of data engineering concepts.

Proficiency in ETL processes.

Knowledge of data modeling techniques.

Additional Information:

The candidate should have minimum 5 years of experience in Data Architecture Principles.

This position is based at our Manila office.