Senior Data Developer

Role Overview:

• Combine deep hands-on data engineering with technical ownership of a critical data layer.
• Support a higher-education platform's program, student, and enrollment data with accuracy and governance.

Responsibilities:

• Design, build, and tune schemas, stored procedures, views, functions, and indexes; lead query-plan analysis and performance work.
• Build and maintain Databricks pipelines (PySpark/Spark SQL) and dbt models using Kimball dimensional modeling.
• Manage data access and lineage in Unity Catalog, implement quality checks, and protect sensitive personal data.

Requirements:

• Advanced/fluent English (C1+) and expert SQL including stored procedures, window functions, CTEs, indexing, and execution plans.
• Solid production experience with Databricks, PySpark, Delta Lake, dbt, and relational databases like SQL Server or PostgreSQL.
• Experience with Git, CI/CD for database changes, and strong dimensional modeling and data warehouse design skills.

Benefits:

• Premium Healthcare, meal voucher, parental leaves, mobile services subsidy, and sick pay.
• CI&T University, Colombian holidays, paid vacations, life insurance, and many others.