Databricks Data Engineer

Role Overview: As a Databricks Data Engineer at our company, you will utilize your expertise in Databricks, Python, Pyspark, Data Modelling, ETL, and DevOps to contribute to data engineering projects. Your primary tasks will involve developing and implementing data models, ETL processes, and ensuring smooth data operations. Your understanding of DevOps principles will be crucial in maintaining efficient data pipelines and workflows. Key Responsibilities: - Work with Databricks, Python, and Pyspark to develop and implement data models and ETL processes - Ensure smooth data operations by maintaining efficient data pipelines - Participate in virtual and in-person interviews for the role - Showcase technical proficiency and clear communication skills Qualifications Required: - Minimum of 3-9 years of experience in Databricks, Python, Pyspark, Data Modelling, ETL, and DevOps - Strong understanding of DevOps principles - Passion for data engineering and ability to work in a dynamic team environment,