Senior Data Engineer, Snowflake

🔥 15 hours ago

🌐 Colombia, Costa Rica – Remote

🇨🇴 Colombia – Remote 🇨🇷 Costa Rica – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 10%

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Gorilla Logic

WebsiteLinkedInAll Job Openings

501 - 1000 employees

💼 Consulting

📣 Marketing

📦 Logistics

Consulting • Marketing • Logistics

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.

📋 Description

• Design, develop, and maintain scalable data pipelines and data warehouse solutions using Snowflake • Build and maintain staging, integration, reporting, and Golden Layer tables for analytics and downstream applications • Consolidate and transform raw data into structured, reliable, and business-ready datasets • Implement Bronze, Silver, and Gold data layers following modern data engineering practices • Design and optimize dimensional data models using star schemas, fact tables, and dimension tables • Develop and optimize complex SQL queries, transformations, and data processing workflows • Build and maintain ETL/ELT pipelines integrating data from enterprise systems and external sources • Prepare datasets for Power BI, Tableau, Looker, or similar business intelligence platforms • Support integrations with downstream applications, APIs, and business systems • Implement data quality checks, validation, monitoring, and automated workflows • Troubleshoot data pipeline failures, performance bottlenecks, and data consistency issues • Collaborate with business stakeholders on reporting, analytics, and data integration requirements • Contribute to data architecture discussions, technical decisions, and continuous improvements • Develop documented, maintainable, and reusable data solutions

🎯 Requirements

• 5+ years of professional experience in Data Engineering, including designing and maintaining production data pipelines and data warehouse solutions • Strong hands-on experience with Snowflake, including developing, maintaining, and optimizing data warehouse structures • Demonstrated experience building staging, integration, reporting, and Golden Layer tables in Snowflake • Experience consolidating, transforming, and modeling raw data into analytics-ready datasets for BI platforms and downstream systems • Strong knowledge of SQL, including complex queries, transformations, joins, aggregations, and performance optimization • Experience designing dimensional data models, including star schemas, fact tables, and dimension tables • Hands-on experience building and maintaining ETL/ELT pipelines and data integration workflows • Experience preparing and structuring data for consumption by BI and reporting platforms such as Power BI, Tableau, Looker, or similar tools • Experience integrating data from multiple sources, including databases, APIs, files, or streaming pipelines • Strong understanding of data warehouse architecture, data quality, data consistency, and performance optimization • Experience with Python or another programming language used for data processing and automation • Experience working with cloud-based data platforms and services, such as AWS or similar enterprise cloud environments • Strong troubleshooting, analytical thinking, and problem-solving skills • Ability to work independently, take ownership of technical initiatives, and communicate effectively with technical and business stakeholders • Strong English communication skills • Candidates must be located in Colombia or Costa Rica • Bonus: Experience with dbt, Apache Airflow, Dagster, Snowflake advanced features, Kafka, Snowplow, Fivetran, semantic layers, marketing analytics, customer data platforms, infrastructure as code including Terraform, and AI-assisted development tools

🏖️ Benefits

• Remote work arrangement • Full-time employment

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