Data Platform Engineer
Description For Data Platform Engineer
Join Gorilla, a transformative force in the energy industry, as a Data Platform Engineer where you'll be instrumental in developing cutting-edge data solutions driving towards a net-zero future. This role combines technical expertise with environmental impact, offering a unique opportunity to shape the future of energy retail software.
As a Data Platform Engineer, you'll be responsible for designing and maintaining large-scale data pipelines, implementing high-quality engineering practices, and enabling efficient data processing to support our SaaS products. The role requires expertise in Python, cloud technologies (AWS/Azure/GCP), and modern data tools like Airflow and DBT. You'll work with terabytes of data, ensuring systems are robust, scalable, and aligned with business goals.
The position offers a hybrid work environment, typically requiring 1-2 days in the office, with flexibility for remote work. You'll be part of a growing product team transitioning from startup to scale-up, maintaining an innovative spirit while building tomorrow's energy retail software and data infrastructure.
Key responsibilities include building large-scale ETL pipelines, enhancing cloud-based data infrastructure, collaborating across teams, and implementing automated workflow solutions. You'll need strong experience in data engineering, cloud expertise, and a software engineering mindset, along with proficiency in tools like Terraform, Docker, and Kubernetes.
Benefits include flexible work options, comprehensive health coverage, generous PTO, career growth opportunities in a rapidly expanding company, and international travel for company gatherings. The role offers both technical challenges and the satisfaction of contributing to environmental sustainability through technology.
Working at Gorilla means joining a purpose-driven organization where you can make a tangible impact on climate change while developing cutting-edge solutions. The company culture emphasizes lifelong learning, innovation, and cross-functional collaboration, making it an ideal environment for professionals who want to grow while making a difference in the world.
Responsibilities For Data Platform Engineer
- Design and optimize ETL pipelines and streaming solutions for processing terabytes of data
- Develop and maintain data systems in cloud environments using infrastructure-as-code tools
- Collaborate with engineering, product, and business stakeholders
- Implement and manage workflow tools to automate data dependencies
- Design systems for high availability, low latency, and scalability
- Modernize existing infrastructure and improve maintainability
- Create comprehensive documentation for systems and processes
Requirements For Data Platform Engineer
- Proven experience in data engineering and building robust data pipelines
- Strong experience with cloud environments using Terraform, Docker, and Kubernetes
- Proficiency in Python with solid OOP principles
- Experience with Airflow and DBT for workflow management
- Hands-on experience with CI/CD pipelines and infrastructure-as-code
- Strong collaboration skills
- Analytical problem-solving mindset
Benefits For Data Platform Engineer
- Flexible work options with hybrid schedule
- Best technology for remote work
- Generous PTO allowance
- Health insurance coverage
- Career growth opportunities
- International travel for company gatherings
