[Job-31657] Senior Data Developer, Colombia

Ciandt; Colombia; Presencial; COP 110.000.000 - 170.000.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Premium Healthcare

Meal voucher

Maternity and Parental leaves

Mobile services subsidy

Sick pay-Life insurance

CI&T University

Colombian Holidays

Paid Vacations

Descripción de la vacante

CI&T is hiring a Senior Data Developer to design scalable data pipelines and data platforms for global clients. You will implement robust data governance, quality controls, and analytics-ready data models using Snowflake, DBT, Python, and Azure cloud services.

Join a 30-year tech transformation partner with a global footprint and strong emphasis on modern data stacks, ETL/Ci/CD pipelines, and data governance best practices.

Formación

• Advanced English communication skills (reading, writing, 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.

Responsabilidades

• 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.

Conocimientos

Python

Azure (SQL/Spark)

Airflow/Dataforms

Data governance

Data quality

CI/CD for ETL

Dimensional data modeling

Data Lake/Warehouse

Data engineering

English communication

International clients

Herramientas

Snowflake

DBT

Descripción del empleo

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

Our benefits include:

• - Premium Healthcare
• - Meal voucher
• - Maternity and Parental leaves
• - Mobile services subsidy
• - Sick pay-Life insurance
• - CI&T University
• - Colombian Holidays
• - Paid Vacations

And many others.

Collaboration is our superpower, diversity unites us, and excellence is our standard.

We value diverse identities and life experiences, fostering a diverse, inclusive, and safe work environment. We encourage applications from diverse and underrepresented groups to our job positions.