Job Description:

- Design, develop and maintain scalable data pipelines and data engineering solutions using Snowflake, Airflow, dbt and Python.

- Contribute to the development of the Execution Services Data Platform.

- Build and optimize enterprise-scale data ingestion, transformation and processing workflows.

- Develop reliable and reusable data models and transformation pipelines using dbt.

- Implement and manage workflow orchestration using Apache Airflow.

- Develop data engineering applications and automation using Python.

- Write complex SQL queries and optimize database performance.

- Work with business and technology stakeholders to understand data and application requirements.

- Analyze data workflows, interfaces, controls and downstream dependencies.

- Follow best practices for data engineering, development methodologies, testing and deployment.

- Troubleshoot data pipeline and application issues and provide effective technical solutions.

- Contribute to data quality, monitoring, scalability and reliability of enterprise data platforms.

- Collaborate with cross-functional teams to deliver cutting-edge technology solutions.

📌 Snowflake Data Engineer (India)
🏢 Acme Services Private
📍 India