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[Job-31657] Senior Data Developer, Colombia

Role overview

Qualifications

  • 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

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

Key facts

Hard skills

Other skills

  • Communication

About the company

Ci&T logo

Ci&T

Digital Transformation Consulting

We are your tech transformation specialists, combining human expertise with AI to create scalable solutions that help you Navigate Change. With over 6,500 CI&Ters and partnerships with more than 1,000 clients, we have a 30-year history of transformation.

Company details

IndustryDigital Transformation Consulting
Company size5001 - 10000

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Job description

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

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.

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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