Job Summary: KENOS Technology is seeking a Data Engineer to design and evolve data platforms, collaborate with BI, Data Science, and AI teams, develop data pipelines, and optimize architectures. Key Highlights: 1. Participation in the design and evolution of data platforms 2. Collaboration with BI, Data Science, and Artificial Intelligence teams 3. Development of data pipelines and ETL/ELT processes DESCRIPTION KENOS Technology is seeking a **Data Engineer** with experience in **Databricks and modern architectures**, to participate in the design and evolution of data platforms and collaborate with **BI, Data Science, and Artificial Intelligence** teams. **Responsibilities** * Design and optimize **batch and streaming data pipelines**. * Develop **ETL/ELT processes in Databricks (Apache Spark)**. * Implement **Lakehouse, Data Lake, and Data Warehouse** architectures. * Model and optimize **analytical and dimensional data**. * Integrate internal and external data sources. * Ensure **data quality, governance, and traceability**. * Optimize performance and costs in cloud environments. * Collaborate with BI, Data Science, and business teams. * Automate processes using **CI/CD** and document solutions. REQUIREMENTS * **3–5 years of experience** as a Data Engineer. * Demonstrable experience with **Databricks**. * Proficiency in **Apache Spark, advanced SQL, and Python (PySpark)**. * Knowledge of **Data Lakes, Lakehouse, and modern architectures**. * Experience in **analytical/dimensional modeling**. * Version control with **Git**. * Familiarity with **orchestration tools** (Airflow, ADF, dbt, etc.). **Certifications (preferred)** * **Databricks Data Engineer Professional** (practical experience is prioritized). **What We Offer?** * **Competitive compensation** aligned with experience. * **Permanent contract** and stable project. * **Flexible working hours** and **remote work**. * **Flexible compensation**. * **Continuous training**, including technical certifications and language courses.