Remote Data Engineer: GCP Pipelines & Analytics

TTEC; Pasay; On-site; PHP 700,000 - 1,200,000; Full time

Benefits offered by this job

Paid time off (PTO)

Wellness and healthcare benefits

Tuition reimbursement

Performance bonus opportunities

Job summary

TTEC is hiring a Data Engineer in Metro Manila, Philippines, to design and maintain data pipelines that drive analytics and decision-making across the company. You will work with a cloud-based data stack, with responsibilities including ETL/ELT data pipeline development on Google Cloud Platform, collaborating with analytics teams, and documenting data processes.

The ideal candidate will have at least 2 years of data engineering experience, strong SQL and Python skills, and knowledge of workflow orchestration tools like Apache Airflow.

Qualifications

• At least 2 years of hands-on experience in data engineering or similar roles.
• Strong SQL skills for writing complex queries and optimizing performance.
• Strong Python skills for building data pipelines and automation.

Responsibilities

• Design and maintain ETL/ELT data pipelines on Google Cloud Platform.
• Write production-grade SQL for data transformation.
• Develop and maintain data processing scripts using Python.

Skills

SQL proficiency

Python programming

Data engineering experience

Cloud platforms (preferably GCP)

Workflow orchestration (Apache Airflow)

Problem-solving skills

Communication skills

Education

Bachelor's degree in Computer Science or related field

Tools

Google Cloud Platform

Apache Airflow

Job description

TTEC is hiring a Data Engineer in Metro Manila, Philippines, to design and maintain data pipelines that drive analytics and decision-making across the company. You will work with a cloud-based data stack, with responsibilities including ETL/ELT data pipeline development on Google Cloud Platform, collaborating with analytics teams, and documenting data processes.

The ideal candidate will have at least 2 years of data engineering experience, strong SQL and Python skills, and knowledge of workflow orchestration tools like Apache Airflow.