About the Role : We are looking for an experienced Data Engineer with solid expertise in Snowflake, dbt, SQL, and Python/PySpark to design, develop, and optimize scalable data pipelines and cloud-based data warehouse solutions.Responsibilities : - Design, develop, and maintain scalable data pipelines and ETL/ELT workflows.- Build and manage data transformation models using Snowflake and dbt.- Write complex SQL queries and optimize query performance and warehouse utilization.- Develop data processing solutions using Python and/or PySpark.- Design and optimize data models to support analytics and business requirements.- Integrate data from multiple sources while ensuring data quality, consistency, and reliability.- Leverage AWS or Azure services to build and maintain cloud-based data solutions.- Monitor pipeline performance, troubleshoot failures, and resolve data processing issues.- Collaborate with business, analytics,



and engineering teams to deliver reliable data solutions.- Follow best practices for code quality, data security, performance, and maintainability.Requirements : - 6 - 10 years of experience in data engineering or a related field.- Strong hands-on experience with Snowflake and SQL.- Experience with dbt for data transformation and model development.- Proficiency in Python and/or PySpark.- Strong understanding of data warehousing, data modeling, and ETL/ELT processes.- Experience with AWS or Azure cloud services for data engineering.- Proven experience developing, maintaining, and optimizing scalable data pipelines.- Strong analytical, troubleshooting, and problem-solving skills. (ref:hirist.tech)

📌 Data Engineer - Snowflake/Python (Hyderabad)
🏢 RANDOMTREES PRIVATE
📍 Hyderabad