Key Skills: SQL, Python
Roles and Responsibilities:
- Develop and maintain robust data pipelines and ETL processes.
- Collaborate with data scientists and analysts to understand data requirements.
- Optimize SQL queries for performance and efficiency.
- Ensure data quality and integrity throughout the data lifecycle.
- Implement data storage solutions using Snowflake.
- Participate in code reviews and contribute to team knowledge sharing.
- Troubleshoot and resolve data-related issues in a timely manner.
Skills Required:
- Strong expertise in SQL and query optimization
- Hands-on experience with data pipeline development and ETL processes
- Knowledge of data storage solutions such as Snowflake
- Basic proficiency in Python for data processing (nice-to-have)
- Strong understanding of data quality, integrity, and governance
- Ability to collaborate effectively with data scientists, analysts, and cross-functional teams
- Troubleshooting and problem-solving skills in data-related issues
- Experience with code reviews and knowledge-sharing within the team
Education: Bachelor's degree in Computer Science, Information Technology, or a related field