At CI&T, we help large enterprises transform the potential of AI into real business impact with AI Deployment, AI-native execution, and tech-integrated business solutions.
With 30 years of experience in technological transformation, we accelerate innovation with expertise in Agentic SDLC, Application modernization, Data & AI, Martech and Business strategy.
We are 8,000 CI&Ters across more than 25 countries, collaborating to build solutions with real impact. AI is already part of how we work, evolve, and innovate every day.
As a Senior Data Developer, you will design and implement scalable data solutions that drive business value for our global clients. Working with modern data stacks in cloud environments, you'll develop robust data pipelines, ensure data quality, and implement effective data governance practices. Your expertise will be crucial in transforming raw data into actionable insights.
Key Responsibilities:
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
Strong coding experience with Python
Hands-on experience with Snowflake and DBT
Proven background in data engineering with modern data stacks
Experience in Azure cloud environments using SQL and/or Spark (with Apache Airflow and Dataforms)
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
Must: Azure Data Factory, Azure DevOps, SQL, Experience with data cleansing, transformation, and integration.
Nice: Snowflake, Python
#LI-TO1
Skills Required
- Advanced English communication skills in reading, writing, and speaking
- Experience working with international clients
- Proven background in data engineering with modern data stacks
- Experience with Azure cloud environments using SQL and/or Spark
- Experience with Apache Airflow and Dataform
- Knowledge of data quality practices and implementation methods
- Familiarity with CI/CD pipelines for ETL processes
- Expertise in dimensional data modeling
- Experience implementing Data Lake and Data Warehouse solutions
- Understanding of Data Governance principles
- Experience with Azure Data Factory
- Experience with Azure DevOps
- Experience with SQL
- Experience with data cleansing, transformation, and integration
- Experience with Snowflake
- Strong coding experience with Python
- Experience with dbt
What We Do
CI&T is your end-to-end digital transformation partner. As a digital native, we bring a 27-year track record of accelerating business impact through complete and scalable digital solutions. With a global presence of 6,000+ professionals in strategy, research, data science, design and engineering, we unlock top-line growth, improve customer experience and drive operational efficiency.
