Tech Stack
AzureCloudETLSQL
About the role
- 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
- 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
- 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 engineeringdata modelingETL processesdata quality practicesData LakeData WarehouseSQLAzure Data FactorySnowflakeCI/CD pipelines
Soft skills
advanced English communicationcollaborationcross-functional teamworkdata integrityaccessibilityusabilityinternational client experience