Experienced Google Cloud Platform Data Engineer - Scalable Data Pipelines & Systems for Remote Work
Unlock Your Potential as a Google Cloud Platform Data Engineer at Workwarp
At Workwarp, we're on a mission to revolutionize the way businesses operate by harnessing the power of data. As a leader in the industry, we're seeking a highly skilled and experienced Google Cloud Platform Data Engineer to join our team. If you're passionate about designing and implementing scalable, reliable, and secure data pipelines and systems, we want to hear from you.
About the Role
As a Google Cloud Platform Data Engineer at Workwarp, you'll be responsible for leading workshops with domains to identify data sources, coordinating with data architects and internal teams for STTM and Retail Data Model implementation, and enhancing code frameworks and accelerators with Common Data Services. You'll oversee day-to-day delivery and improve velocity, ensuring that data is easily accessible, accurate, and actionable for stakeholders.
Key Responsibilities
Design, develop, and maintain scalable data pipelines using Google Cloud Platform services like BigQuery, Cloud Dataflow, Cloud Pub/Sub, and Cloud Storage.
Build and optimize ETL (Extract, Transform, Load) processes to ensure data quality and availability for reporting and analytics.
Implement data architecture solutions that are aligned with the organization's business and technical needs.
Collaborate with data scientists, analysts, and other stakeholders to ensure data accessibility and integrity.
Work with both structured and unstructured data and develop processes for cleaning and preparing data for analysis.
Monitor and troubleshoot data pipelines, optimizing for performance and cost efficiency.
Ensure data governance, security, and compliance standards are maintained.
Implement CI/CD pipelines and automate workflows for data processing.
Create and manage infrastructure-as-code solutions (Terraform, Deployment Manager) to manage resources.
Optimize database performance and query tuning for cost-effective data operations.
Essential Qualifications
To succeed in this role, you'll need:
A Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
3+ years of experience as a Data Engineer, with at least 2 years working on Google Cloud Platform.
Strong experience with Google Cloud Platform services, including BigQuery, Cloud Pub/Sub, Dataflow, Dataproc, Cloud Storage, and Composer.
Proficiency in SQL and experience in designing and optimizing queries for large datasets.
Experience with Python, Java, or Scala for building data pipelines and integrations.
Familiarity with data warehousing concepts and best practices.
Knowledge of containerization tools like Docker and orchestration tools like Kubernetes is a plus.
Experience with DevOps and CI/CD tools for automating data workflows.
Familiarity with version control systems like Git.
Excellent problem-solving and communication skills.
Preferred Qualifications
If you have the following qualifications, you'll be an even more competitive candidate:
Google Professional Data Engineer Certification.
Experience with data governance frameworks and security best practices on Google Cloud Platform.
Experience working with machine learning pipelines and integrating ML models into data workflows.
Knowledge of Apache Airflow for orchestrating workflows.
What We Offer
At Workwarp, we believe in rewarding our team members for their hard work and dedication. As a Google Cloud Platform Data Engineer, you'll enjoy:
A competitive salary that reflects your experience and skills.
Health insurance to ensure your well-being and peace of mind.
Flexible working hours that allow you to balance your work and personal life.
Opportunities for growth and professional development, helping you stay ahead in your career.
Work Environment and Company Culture
At Workwarp, we're committed to creating a positive and inclusive work environment that fosters collaboration, innovation, and creativity. As a remote team member, you'll have the flexibility to work from anywhere, while still being connected to our vibrant company culture. We prioritize:
Open communication and transparency.
Continuous learning and professional development.
Diversity, equity, and inclusion.
Work-life balance and flexibility.
Career Growth Opportunities and Learning Benefits
As a Google Cloud Platform Data Engineer at Workwarp, you'll have access to a range of career growth opportunities and learning benefits, including:
Training and development programs to enhance your skills and knowledge.
Mentorship and coaching from experienced professionals.
Opportunities to work on high-impact projects and contribute to the company's success.
A culture of continuous learning and innovation.
Join Our Team
If you're a motivated and experienced Google Cloud Platform Data Engineer looking for a new challenge, we want to hear from you. Apply now to join our team and be part of a company that's shaping the future of data-driven businesses.
Don't miss this opportunity to take your career to the next level. Apply today!
Apply Now
At Workwarp, we're on a mission to revolutionize the way businesses operate by harnessing the power of data. As a leader in the industry, we're seeking a highly skilled and experienced Google Cloud Platform Data Engineer to join our team. If you're passionate about designing and implementing scalable, reliable, and secure data pipelines and systems, we want to hear from you.
About the Role
As a Google Cloud Platform Data Engineer at Workwarp, you'll be responsible for leading workshops with domains to identify data sources, coordinating with data architects and internal teams for STTM and Retail Data Model implementation, and enhancing code frameworks and accelerators with Common Data Services. You'll oversee day-to-day delivery and improve velocity, ensuring that data is easily accessible, accurate, and actionable for stakeholders.
Key Responsibilities
Design, develop, and maintain scalable data pipelines using Google Cloud Platform services like BigQuery, Cloud Dataflow, Cloud Pub/Sub, and Cloud Storage.
Build and optimize ETL (Extract, Transform, Load) processes to ensure data quality and availability for reporting and analytics.
Implement data architecture solutions that are aligned with the organization's business and technical needs.
Collaborate with data scientists, analysts, and other stakeholders to ensure data accessibility and integrity.
Work with both structured and unstructured data and develop processes for cleaning and preparing data for analysis.
Monitor and troubleshoot data pipelines, optimizing for performance and cost efficiency.
Ensure data governance, security, and compliance standards are maintained.
Implement CI/CD pipelines and automate workflows for data processing.
Create and manage infrastructure-as-code solutions (Terraform, Deployment Manager) to manage resources.
Optimize database performance and query tuning for cost-effective data operations.
Essential Qualifications
To succeed in this role, you'll need:
A Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
3+ years of experience as a Data Engineer, with at least 2 years working on Google Cloud Platform.
Strong experience with Google Cloud Platform services, including BigQuery, Cloud Pub/Sub, Dataflow, Dataproc, Cloud Storage, and Composer.
Proficiency in SQL and experience in designing and optimizing queries for large datasets.
Experience with Python, Java, or Scala for building data pipelines and integrations.
Familiarity with data warehousing concepts and best practices.
Knowledge of containerization tools like Docker and orchestration tools like Kubernetes is a plus.
Experience with DevOps and CI/CD tools for automating data workflows.
Familiarity with version control systems like Git.
Excellent problem-solving and communication skills.
Preferred Qualifications
If you have the following qualifications, you'll be an even more competitive candidate:
Google Professional Data Engineer Certification.
Experience with data governance frameworks and security best practices on Google Cloud Platform.
Experience working with machine learning pipelines and integrating ML models into data workflows.
Knowledge of Apache Airflow for orchestrating workflows.
What We Offer
At Workwarp, we believe in rewarding our team members for their hard work and dedication. As a Google Cloud Platform Data Engineer, you'll enjoy:
A competitive salary that reflects your experience and skills.
Health insurance to ensure your well-being and peace of mind.
Flexible working hours that allow you to balance your work and personal life.
Opportunities for growth and professional development, helping you stay ahead in your career.
Work Environment and Company Culture
At Workwarp, we're committed to creating a positive and inclusive work environment that fosters collaboration, innovation, and creativity. As a remote team member, you'll have the flexibility to work from anywhere, while still being connected to our vibrant company culture. We prioritize:
Open communication and transparency.
Continuous learning and professional development.
Diversity, equity, and inclusion.
Work-life balance and flexibility.
Career Growth Opportunities and Learning Benefits
As a Google Cloud Platform Data Engineer at Workwarp, you'll have access to a range of career growth opportunities and learning benefits, including:
Training and development programs to enhance your skills and knowledge.
Mentorship and coaching from experienced professionals.
Opportunities to work on high-impact projects and contribute to the company's success.
A culture of continuous learning and innovation.
Join Our Team
If you're a motivated and experienced Google Cloud Platform Data Engineer looking for a new challenge, we want to hear from you. Apply now to join our team and be part of a company that's shaping the future of data-driven businesses.
Don't miss this opportunity to take your career to the next level. Apply today!
Apply Now