Job Description:
We are seeking a skilled Snowflake + Python + SQL Developer with 4-6 years of experience to join our dynamic team. The ideal candidate should possess a strong background in cloud data platforms, Python programming, and SQL database management. Experience with DBT (Data Build Tool) is a plus but not mandatory.
Key Responsibilities:
- Data Engineering & Management:
- Design, implement, and manage data pipelines using Snowflake.
- Develop and optimize complex SQL queries for data extraction, transformation, and reporting.
- Handle large-scale data processing and integration using Python.
- Data Modeling & Optimization:
- Develop and maintain Snowflake data models and warehouse architecture.
- Optimize data pipelines for performance and scalability.
- Collaboration:
- Work closely with cross-functional teams including data analysts, data scientists, and stakeholders to understand data needs and provide efficient solutions.
- ETL Development:
- Develop and maintain ETL/ELT processes to support data analytics and reporting.
- Use Python scripts and Snowflake tools for data transformation and integration.
- Performance Monitoring & Troubleshooting:
- Monitor the performance of Snowflake databases, troubleshoot issues, and ensure data integrity.
- Implement monitoring tools and processes to ensure the reliability of data systems.
- DBT (Optional but Good to Have):
- Leverage DBT for transforming data within Snowflake, if applicable.
- Develop and maintain DBT models for improving the quality of data transformations.
Key Skills and Qualifications:
- Must-Have:
- 4-6 years of hands-on experience with Snowflake, Python, and SQL.
- Strong understanding of SQL databases, relational database management systems (RDBMS), and data modeling concepts.
- Experience in building scalable data pipelines and ETL/ELT processes using Python and Snowflake.
- Knowledge of data warehousing best practices, including performance optimization and data governance.
- Good to Have:
- Experience with DBT (Data Build Tool) or similar data transformation frameworks.
- Familiarity with cloud platforms such as AWS, Azure, or GCP.
- Understanding of version control systems such as Git.
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