Data Engineer

As a Data Engineer with 7 years of experience, you will be responsible for designing, building, and optimizing scalable data pipelines. Your expertise in Python, DBT, and Spark will be crucial in transforming complex data into actionable insights. Key Responsibilities: - Design, develop, and maintain efficient ETL pipelines and workflows. - Build and optimize data models and transformations using DBT. - Perform large-scale distributed data processing with Apache Spark. - Ensure data quality, consistency, and performance across systems. - Collaborate with analytics and business teams to enable data-driven decisions. Qualifications Required: - Strong programming skills in Python for data processing, integration, and automation. - Expertise in DBT (Data Build Tool) for data modeling, transformation, and version-controlled development. - Proficiency in Apache Spark for distributed data processing and performance optimization. About the Company: (No additional details mentioned in the job description),