Data Engineer

Key Skills: Data Engineer, Python. Roles and Responsibilities: Develop and maintain scalable data pipelines using Python and PySpark. Design and implement data lake and data warehouse solutions to support business intelligence and analytics needs. Work extensively on the Databricks platform for data processing and transformation. Write complex SQL queries and build efficient data models to support analytics and reporting. Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver solutions. Ensure data quality, consistency, and reliability across various sources and destinations. Troubleshoot and resolve issues in data ingestion, transformation, and delivery processes. Lead and mentor junior data engineers, ensuring adherence to best practices and coding standards. Experience Requirement: 3-8 years of experience with data warehousing and data lake architectures. Extensive hands-on experience with the Databricks platform. Proven expertise in SQL and data modeling. Strong proficiency in Python and PySpark. Excellent problem-solving and analytical skills. Demonstrated experience in leading and mentoring teams. Education: Any Graduation.