Gorilla Logic
SaaS ⢠Enterprise ⢠Artificial Intelligence
Gorilla Logic is a company renowned for its expertise in modern software and data engineering. Serving as a strategic partner rather than just a vendor, Gorilla Logic specializes in digital product design, cloud engineering, data and AI delivery, DevOps, quality assurance, and legacy modernization. With a team of skilled digital product designers, solutions architects, and Agile nearshore teams, Gorilla Logic has been instrumental in developing business-critical software applications for Fortune 500 and SMB companies for over 20 years. Their services include creating SaaS platforms, enhancing digital experiences, and providing flexible, security-focused solutions. Gorilla Logic operates with teams located in Costa Rica, Colombia, Mexico, and the United States, emphasizing collaborative partnerships to deliver cutting-edge digital engineering solutions.
501 - 1000 employees
âď¸ SaaS
đ˘ Enterprise
đ¤ Artificial Intelligence
Senior Data Engineer, Data & AI
November 9
Gorilla Logic
SaaS ⢠Enterprise ⢠Artificial Intelligence
Gorilla Logic is a company renowned for its expertise in modern software and data engineering. Serving as a strategic partner rather than just a vendor, Gorilla Logic specializes in digital product design, cloud engineering, data and AI delivery, DevOps, quality assurance, and legacy modernization. With a team of skilled digital product designers, solutions architects, and Agile nearshore teams, Gorilla Logic has been instrumental in developing business-critical software applications for Fortune 500 and SMB companies for over 20 years. Their services include creating SaaS platforms, enhancing digital experiences, and providing flexible, security-focused solutions. Gorilla Logic operates with teams located in Costa Rica, Colombia, Mexico, and the United States, emphasizing collaborative partnerships to deliver cutting-edge digital engineering solutions.
501 - 1000 employees
âď¸ SaaS
đ˘ Enterprise
đ¤ Artificial Intelligence
đ Description
⢠Design, build, and maintain scalable and resilient CI/CD pipelines for data applications ⢠Implement and manage Snowflake dbt projects for data transformation ⢠Develop and manage infrastructure as code (IaC) using Terraform ⢠Automate deployment, monitoring, and management of Snowflake data warehouse environments ⢠Collaborate with data engineers and data scientists to provide robust solutions ⢠Implement monitoring, logging, and alerting systems for data pipelines ⢠Develop and maintain robust automation scripts primarily using Python ⢠Ensure security best practices across data infrastructure ⢠Troubleshoot and resolve issues related to data infrastructure ⢠Document system architectures and operational procedures ⢠Stay current with emerging DevOps technologies and best practices ⢠Optimize data pipelines for performance, scalability, and cost
đŻ Requirements
⢠Bachelor's degree in Computer Science, Engineering, or related technical field ⢠5+ years of hands-on experience in a DevOps, SRE, or infrastructure engineering role ⢠3+ years of experience specifically focused on automating and managing data infrastructure and pipelines ⢠1+ years of experience enabling AI features ⢠Strong, demonstrable experience with Infrastructure as Code tools, particularly Terraform ⢠Strong background in DevOps principles and practices ⢠Highly experienced in automation, with proficiency in cloud technologies ⢠Proven experience with dbt for data transformation in a production environment ⢠Hands-on experience managing and optimizing Snowflake data warehouse environments ⢠Demonstrable experience with data modeling techniques ⢠Strong proficiency in Python for automation and related tasks ⢠Solid understanding of CI/CD principles and tools ⢠Experience with cloud platforms (GCP preferred, AWS, or Azure) and their data services ⢠Strong SQL skills
đď¸ Benefits
⢠Health insurance ⢠Paid time off ⢠Professional development opportunities
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