Data Engineer Databricks

We are looking for an experienced Databricks Expert / Senior Data Engineer to join our team and lead complex, high-impact Data projects on the Databricks platform. If you have strong hands-on experience with Databricks, Data Engineering, Spark and Python , and enjoy designing and building scalable Data solutions from architecture through production — we’d love to hear from you. What will you do? Design, develop and implement advanced Data solutions on Databricks Lead end-to-end Data projects, from requirements and architecture through Production Develop scalable, high-performance ETL/ELT processes and Data Pipelines Work with Python, PySpark, Apache Spark, SQL and Delta Lake Integrate data from diverse enterprise systems and sources Optimize performance, processing efficiency and costs Work in Cloud environments such as Azure, AWS or GCP Collaborate with Data, DevOps, BI and Architecture teams Contribute to organizational Data architecture, standards and Best Practices What are we looking for? 5+ years of proven experience with Databricks projects – mandatory 5+ years of experience as a Data Engineer Strong hands-on experience with Python Proven experience developing on Databricks in Production environments Strong experience with Apache Spark / PySpark Experience developing ETL/ELT processes and Data Pipelines Hands-on experience with Delta Lake and Lakehouse architecture Advanced SQL skills Experience working with Cloud platforms – Azure / AWS / GCP Experience working with large-scale Data systems Strong problem-solving skills and a system-wide perspective Ability to work independently and take ownership Show more Show less