Job Summary: We are seeking Data Engineers to design, develop, and maintain data solutions, collaborating with analytics and business teams in innovative environments. Key Highlights: 1. Design and development of scalable and efficient data pipelines 2. Collaboration with analytics and business teams to deliver technical solutions 3. Use of generative AI and intelligent agents to accelerate development **Company Description** Inetum is a global technology services and digital innovation company present in more than 26 countries. In Colombia, Inetum delivers advanced technological solutions that drive the digital transformation of enterprises across diverse sectors, offering services in consulting, software development, systems integration, outsourcing, and technical support. With a focus on agility and adaptability, Inetum Colombia aims to create value for its clients by implementing innovative technologies that enhance efficiency and productivity. Our team comprises experts across various technological domains, working collaboratively in a dynamic, results-oriented environment. Join Inetum and become part of a company transforming the future of enterprises through technology. **Job Description** We are looking for **Data Engineers** with a background in **Systems Engineering, Electronics Engineering, or related fields**, and **3 to 5 years of experience** designing, developing, and maintaining data solutions in analytical and production environments. **Responsibilities** * Design, develop, and maintain **scalable and efficient data pipelines**. * Build and optimize **ETL/ELT** processes for data ingestion, transformation, and loading from multiple sources. * Ensure data **quality, consistency, traceability, and availability**. * Process large volumes of structured and unstructured data. * Collaborate with analytics, data science, and business teams to understand requirements and translate them into technical solutions. * Participate in defining cloud-based data architectures. * Leverage **generative AI tools and intelligent agents** to accelerate development, analysis, and problem resolution. * Document developments, data flows, and best practices. * Interact directly with clients to understand their needs and propose high-value solutions. **Requirements** * Solid experience with **SQL databases**. * Knowledge and experience with **relational and non-relational databases** (PostgreSQL, MySQL, SQL Server, MongoDB, DynamoDB, or others). * Proficiency in **Python** and **Scala** for data manipulation and processing. * Hands-on experience with **Apache Spark** (Spark SQL, DataFrames, job optimization). * Knowledge of **data transformation, cleaning, validation, and enrichment**. * Familiarity with **ETL/ELT tools and frameworks** (Airflow, AWS Glue, DBT, or others). * Understanding of storage architectures such as **Data Lake / Lakehouse**. * Experience with **AWS cloud services** (S3, EMR, Glue, Lambda, Redshift, Athena, among others). * Knowledge of Control M and Data X. * Proficiency in **version control (Git / GitHub)** and sound development practices. * **Knowledge of AI agents and generative AI tools** for technical support and productivity, including: + **GitHub Copilot** for coding assistance and code refactoring. + **GPT (OpenAI)** for code generation, data analysis, documentation, and troubleshooting. + **Gemini (Google)** or other LLM platforms for technical exploration and support. + Basic understanding of how to integrate or consume **LLMs via APIs** for analytical or automation use cases. * Java experience or knowledge is a plus. **Additional Information** **Soft Skills** * Strong **analytical capability**, with emphasis on data accuracy and quality. * Clear and effective **communication**, both with technical and non-technical stakeholders. * Experience working **directly with clients**, gathering requirements and managing expectations. * Proactivity and orientation toward continuous improvement. * Ability to work collaboratively in multidisciplinary teams. * Autonomy, organization, and accountability in delivering results. * Adaptability to dynamic environments and emerging technologies.