**The Role:** We are looking for a highly skilled **Data Engineer** with strong experience in **Python** and **Databricks** to join our growing data team. The ideal candidate will be responsible for designing, building, and optimizing scalable data pipelines, ensuring data quality, and enabling advanced analytics and business insights. **Responsibilities:** * Design, develop, and maintain scalable **ETL/ELT pipelines** using **Python** and **Databricks**. * Integrate data from multiple sources (structured and unstructured) into centralized platforms. * Optimize and automate data workflows to improve performance and reliability. * Implement and enforce best practices for data quality, governance, and security. * Collaborate with data scientists, analysts, and business stakeholders to deliver actionable insights. * Monitor, troubleshoot, and resolve data\-related issues. * Support migration and modernization initiatives leveraging **cloud platforms (Azure/AWS/GCP)**. **Requirements:** * Proven experience as a **Data Engineer** or in a similar role. * Strong proficiency in **Python** for data manipulation, automation, and pipeline development. * Hands\-on experience with **Databricks** (data pipelines, Delta Lake, notebooks, ML integration). * Strong knowledge of SQL, Azure, and Synapse. * Experience working with relational and NoSQL databases. * Experience with **cloud data platforms** (Azure Data Lake, AWS S3, or GCP BigQuery). * Familiarity with **data modeling, data warehousing, and ETL concepts**. * Understanding of **Agile/SCRUM methodologies**. * Strong problem\-solving and communication skills. * Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience). ##### **Nice to Have** * Experience with **Spark** or other big data frameworks. * Experience with .NET. * Exposure to **machine learning pipelines** and AI\-driven data projects. * Knowledge of **DevOps/DataOps** practices (CI/CD, Git, containerization). * Experience with **BI/Visualization tools** (Power BI, Tableau, Looker). **C \- VS \- 02092025** Wakapi Web