Snowflake certified professional with expertise in Streamlit, proficiency in Python. 2. Proficient in managing Containers and Dockers for efficient development workflows. 3. Familiarity with Snowpark is a plus. 4. Strong data engineering skills to handle large datasets effectively. 5. Expertise in Spark for distributed data processing. 6. Collaborate with cross-functional teams to design, implement, and optimize data pipelines. 7. Passionate about leveraging cutting-edge technologies for innovative data management solutions. 8. Join a dynamic team dedicated to revolutionizing data engineering practices. 9. Play a key role in streamlining development processes and enhancing data workflows. 10. Contribute to the continuous improvement of data infrastructure and architecture. 11.