Senior Data Engineer

We are seeking a highly skilled Senior Data Engineer to join our dynamic team. The ideal candidate will have extensive experience in designing and implementing data solutions using Databricks, PySpark, SQL, and Python. As a Senior Data Engineer, you will play a crucial role in managing and optimizing our data pipelines, ensuring data quality, and enabling data-driven decision-making across the organization. Key Responsibilities: - Design, develop, and maintain scalable data pipelines using Databricks and PySpark. - Collaborate with data scientists and analysts to understand data requirements and deliver high-quality data solutions. - Optimize SQL queries for performance and efficiency. - Implement data governance and quality assurance processes to ensure data integrity. - Monitor and troubleshoot data pipeline performance issues, providing timely resolutions. - Stay updated with the latest industry trends and technologies related to data engineering. Required Skills: - Strong proficiency in Databricks and PySpark for big data processing. - Expertise in SQL for data manipulation and querying. - Proficient in Python for data engineering tasks. - Experience with data modeling and ETL processes. - Excellent problem-solving skills and attention to detail. - Strong communication skills to collaborate effectively with cross-functional teams. If you are passionate about data engineering and have a proven track record of delivering high-quality data solutions, we would love to hear from you. Join us in our mission to leverage data for impactful business decisions.