[Job-31488] Senior Data Developer, Colombia

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 CI&T grows, we seek a talented, motivated, and experienced Data Engineer to join our team and build robust data-driven solutions for our customers. This role is pivotal in designing, developing, and maintaining scalable data infrastructure and pipelines that enable our data initiatives to thrive.

• →Data Pipeline Development: Build, optimize, and maintain scalable data pipelines and ETL/ELT processes to support analytics and business intelligence needs.
• →Data Architecture Implementation: implement data architectures, including data lakes, warehouses, and integration layers that support the organization's data strategy.
• →Data Quality & Governance: Implement data quality checks, validation processes, and monitoring systems to ensure data accuracy, consistency, and reliability.
• →Integration & API Development: Develop and maintain integrations between various data sources, third-party tools, and analytics platforms.
• →Collaboration: Work closely with Data & Analytics Managers, data scientists, and business stakeholders to understand requirements and deliver technical solutions that enable data-driven decision making.
• →Performance Optimization: Monitor and optimize data pipeline performance, query efficiency, and storage costs to ensure scalable and cost-effective solutions.
• →Documentation: Create and maintain comprehensive technical documentation for data architectures, pipelines, and processes.
• →Data Security: Implement security best practices and ensure compliance with data privacy regulations across all data systems.
• →Powered by AI: Leverage AI tools and automation to enhance data engineering workflows and productivity.

• Experience with major Cloud Platform providers (Azure, AWS, or GCP)
• Experience with data platforms Databricks or Snowflake
• Good level of English B2 or above 
• Experience working with international clients
• Strong experience with data pipeline development and ETL/ELT processes
• Proficiency with data warehousing solutions (BigQuery, Snowflake, Redshift, or similar)
• Experience with SQL and at least one programming language (Python, Scala, or Java)
• Understanding of data modeling and database design principles

• Experience with modern data stack tools (dbt, Airflow, Fivetran, Stitch, etc.)
• Experience with streaming data platforms (Kafka, Pub/Sub, Kinesis)
• Certifications in cloud platforms or data engineering
• Spanish communication (reading, writing, and speaking is mandatory)

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