Data Engineer (Databricks)

Description

Job Summary: KENOS Technology is seeking a Data Engineer to design and evolve data platforms, collaborating with BI, Data Science, and AI teams. Key Highlights: 1. Participation in the design and evolution of data platforms 2. Collaboration with BI, Data Science, and Artificial Intelligence teams 3. Design and optimization of batch and streaming data pipelines DESCRIPTION KENOS Technology is looking for 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.