Senior Data Engineer

Build the future of data. Join the Snowflake team.

We are seeking a skilled Data Platform Engineer to join our dynamic team at Snowflake. As a Data Platform Engineer, you will play a critical role in developing and maintaining our data platform used by data teams across the organization. The ideal candidate will have 6-8 years of experience in data engineering and a strong proficiency in SQL, Python, Snowflake, Airflow, Docker & Kubernetes. 

Key Responsibilities:

• Design and Develop Data Platform Tools: Collaborate with cross-functional teams to design, develop, and maintain data platform tools and infrastructure components using cutting-edge technologies such as Kubernetes, Docker, and Airflow.
• Optimize Data Pipelines: Implement efficient data pipelines to ingest, transform, and load data into Snowflake using SQL and Python, ensuring high performance and reliability.
• Monitor and Maintain Data Platform: Monitor the health and performance of data platform tools and infrastructure, proactively identifying and resolving issues to ensure maximum uptime and reliability.
• Automate Deployment Processes: Implement automation scripts and tools to streamline the deployment and configuration of data platform components using Kubernetes and Docker.
• Collaborate with Data Teams: Work closely with data engineering, data science, and analytics teams to understand their requirements and provide support in leveraging data platform tools effectively.
• Ensure Security and Compliance: Implement security best practices and ensure compliance with data governance policies and regulations across all data platform components.
• Documentation and Knowledge Sharing: Document technical designs, procedures, and best practices, and actively participate in knowledge sharing sessions to facilitate cross-team collaboration and learning.
• Product Mindset: A strong focus on delivering high-quality products that meet the needs of internal stakeholders and customers.
• Fast-Paced Environment: Ability to thrive in a fast-paced, dynamic environment.

Qualifications:

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 6-8 years of experience in data engineering or related roles.
• Strong proficiency in SQL and Python for data manipulation and scripting.
• Experience with containerization technologies such as Docker and container orchestration platforms like Kubernetes.
• Experience with workflow management tools like Airflow for orchestrating complex data pipelines.
• Hands-on experience with Snowflake or other cloud data warehouse platforms is highly desirable.
• Strong problem-solving skills and the ability to troubleshoot complex issues in a distributed, cloud-based environment.
• Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.