Remote Data Engineer: Build Scalable Data Pipelines

Quik Hire Staffing; Philippines; Remote; PHP 900,000 - 1,500,000; Full time

Job summary

Quik Hire Staffing seeks a Data Engineer to design, build, and maintain scalable data pipelines and infrastructure for data-driven decision-making. The role offers full-time, remote work with collaboration across cross-functional teams to ensure data reliability for analytical and operational needs.

The ideal candidate will handle ETL/ELT processes, ensure data integrity and security, and leverage cloud platforms (AWS, GCP, Azure) along with Airflow or Spark to support data warehousing and

Qualifications

• Experience with SQL, Python, or Scala for data engineering tasks.
• Proficiency in data pipeline tools such as Apache Airflow, Spark, or similar frameworks.
• Knowledge of cloud platforms (AWS, GCP, Azure) and their data services.
• Familiarity with data modeling, warehousing concepts, and schema design.
• Strong problem-solving skills and ability to work in a fast-paced, collaborative environment.

Responsibilities

• Design, develop, and optimize data pipelines to ingest, transform, and load data from various sources into target systems.
• Implement and maintain ETL/ELT processes to support data warehousing and analytics initiatives.
• Ensure data integrity, consistency, and security across all data assets and systems.
• Monitor pipeline performance, troubleshoot issues, and implement improvements to enhance efficiency and reliability.
• Collaborate with data scientists, analysts, and other stakeholders to understand requirements and deliver high-quality data solutions.

Skills

SQL

Python

Scala

Data pipelines

Problem-solving

Tools

Apache Airflow

Spark

Job description

Quik Hire Staffing seeks a Data Engineer to design, build, and maintain scalable data pipelines and infrastructure for data-driven decision-making. The role offers full-time, remote work with collaboration across cross-functional teams to ensure data reliability for analytical and operational needs.

The ideal candidate will handle ETL/ELT processes, ensure data integrity and security, and leverage cloud platforms (AWS, GCP, Azure) along with Airflow or Spark to support data warehousing and