Design and develop scalable data pipelines and infrastructure to process large volumes of data efficiently
Collaborate with cross-functional teams to ensure data integrity, accessibility, and usability
Implement and maintain data quality measures throughout the data lifecycle
Create and optimize dimensional data models to support analytical needs
Develop and maintain Data Lake/Data Warehouse solutions for our clients
Implement data governance practices including cataloging and lineage tracking
Configure and manage CI/CD pipelines for ETL processes
Requirements
Advanced English communication skills (reading, writing, and speaking)
Experience working with international clients
Hands-on experience with Snowflake
Understanding/usage of AI
Proven background in data engineering with modern data stacks
Experience in Azure cloud environments using SQL and Azure Data Factory
Knowledge of data quality practices and implementation methods
Familiarity with CI/CD pipelines for ETL processes
Expertise in dimensional data modeling
Experience implementing and working with Data Lake/Data Warehouse solutions
Understanding of Data Governance principles
Benefits
Premium Healthcare
Meal voucher
Maternity and Parental leaves
Mobile services subsidy
Sick pay-Life insurance
CI&T University
Colombian Holidays
Paid Vacations
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data engineeringdimensional data modelingdata quality practicesETL processesdata governanceSQLAzure Data FactorySnowflakedata pipelinesData Lake/Data Warehouse solutions
Soft skills
advanced English communicationcollaborationcross-functional teamworkdata integrityaccessibilityusabilityinternational client experience