About The Role
We are looking for an experienced Data Engineer with strong 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 :
• 6
- 10 years of experience in data engineering or a related field.
• Robust 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 (Chennai)
🏢 RandomTrees
📍 Chennai