TL;DR
Senior Data Engineer (Data Science/ML): Designing, developing, and maintaining scalable data pipelines and cloud data platform migrations with an accent on cloud infrastructure, data transformation, and automation. Focus on leading migration projects, implementing infrastructure as code, and optimizing data processing in hybrid cloud environments.
Location: Costa Rica, Hybrid work mode
Company
hirify.global is a global software and digital engineering company specializing in cloud services, product engineering, data analytics, AI, and cybersecurity.
What you will do
- Lead and support migration of data platforms from Snowflake on AWS to Azure Databricks and DBT
- Design and implement scalable data pipelines and transformations for reliable data processing
- Develop and maintain infrastructure as code using Terraform for cloud data environments
- Troubleshoot and optimize cloud infrastructure, data pipelines, and integration processes
- Collaborate with cross-functional teams to translate business requirements into software solutions
- Mentor junior engineers and lead technical projects
Requirements
- Bachelor’s degree or equivalent experience in Computer Science, Data Engineering, or related field
- 5+ years of experience in data engineering with modern cloud data platforms
- Hands-on experience with Snowflake, Azure Databricks, DBT, and Terraform
- Experience leading cloud-to-cloud data migration projects
- Strong proficiency in SQL, data modeling, ETL/ELT pipeline development, and CI/CD
- Familiarity with data governance and streaming data technologies like Kafka
Culture & Benefits
- Global company with diverse and inclusive hiring practices
- Focus on skill-based hiring without discrimination
- Hybrid work mode based in Costa Rica
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