Remote Data Engineer

Overview

The Remote Data Engineer will design, implement, and optimize data solutions within cloud environments, focusing on Google Cloud Platform.

In Short

• Requires 10 years of experience in data engineering.
• Expert-level skills in Google Cloud Platform, especially BigQuery.
• Proficient in Python and advanced SQL querying.
• Experience with data pipeline orchestration tools like Apache Airflow.
• Familiarity with DevOps practices and CI/CD tools.
• Design and maintain scalable data pipelines.
• Implement batch and real-time analytics solutions.
• Collaborate with product managers for data requirements.
• Optimize analytical datasets for reporting and analysis.
• Support Big Data solutions for diverse applications.

Requirements

• 10 years of experience in data engineering.
• Expertise in Google Cloud Platform services.
• Strong programming skills in Python.
• Advanced SQL skills.
• Experience with workflow management tools.
• Familiarity with version control and CI/CD.
• Ability to work in dynamic cloud environments.
• Strong problem-solving skills.
• Good communication skills for collaboration.
• Experience in data modeling and performance optimization.

Benefits

• Work remotely from anywhere.
• Competitive salary and benefits.
• Opportunity to work with cutting-edge technologies.
• Collaborative and innovative work environment.
• Flexible working hours.
• Professional development opportunities.
• Supportive team culture.
• Work on impactful data projects.
• Access to resources for continuous learning.
• Health and wellness programs.