TL;DR
Mid Analytics Engineer: Responsible for designing, developing, and maintaining high-quality data solutions, collaborating with cross-functional teams for the migration of data platforms. Focus on developing and maintaining data pipelines and analytics models using Databricks and DBT, implementing and managing infrastructure as code using Terraform.
Location: Hybrid (Peru)
Company
Encora is a global company that offers Software and Digital Engineering solutions.
What you will do
- Collaborate with cross-functional teams to support the migration of data platforms from Snowflake on AWS to Azure Databricks and DBT.
- Develop and maintain data pipelines, transformations, and analytics models using Databricks and DBT.
- Implement and manage infrastructure as code using Terraform to support scalable cloud data environments.
- Troubleshoot and optimize data workflows, ensuring reliable data integration, performance, and documentation of processes.
Requirements
- Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field, or equivalent practical experience
- 5+ years of experience in data engineering or analytics engineering roles
- Hands-on experience working with cloud data platforms such as Snowflake, Azure Databricks, and DBT
- Strong experience building and managing infrastructure using Terraform
- Strong proficiency in SQL and experience with data modeling and ETL or ELT processes
- Experience working with CI/CD workflows and Git-based version control systems
Nice to have
- Familiarity with data governance practices including data cataloging, lineage, monitoring, and data quality checks
- Understanding of data lakehouse architecture and modern cloud data platform design
- Strong analytical, problem-solving, and communication skills in collaborative environments
Culture & Benefits
- Professionals are hired based solely on their skills, with no discrimination based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.