Design and develop scalable data pipelines and infrastructure to efficiently process large volumes of data
Collaborate with cross-functional teams to ensure data integrity, accessibility, and usability
Implement and maintain data quality controls throughout the data lifecycle
Create and optimize dimensional data models to support analytical needs
Develop and maintain Data Lake and 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 using modern data stacks
Experience with Azure cloud environments, including 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 and Data Warehouse solutions
Understanding of data governance principles
Benefits
Health and dental insurance
Meal and food allowance
Childcare assistance
Extended paternity leave
Partnerships with gyms and health and wellness providers through Wellhub (Gympass) / TotalPass
Profit sharing and results participation (PLR)
Life insurance
Continuous learning platform (CI&T University)
Employee discount club
Free online platform dedicated to physical, mental, and overall well-being
Pregnancy and responsible parenting course
Partnerships with online learning platforms
Language learning platform
And many more!
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 governancedimensional data modelingdata pipelinesData LakeData WarehouseAzure Data Factory
Soft skills
advanced English communicationcollaborationcross-functional teamworkdata integrityaccessibilityusability