Senior Data Engineer - Product

We are looking for a skilled Snowflake Data Engineer to join our Product and Data Science team. The ideal candidate brings a solid background in data engineering, with deep expertise in Snowflake and cloud technologies.

In this role, you will design, build, and maintain robust data pipelines, ensuring our data infrastructure is scalable, reliable, and efficient. You will partner closely with product and data scientists, providing tools, automation, and best practices to accelerate their work, improve data quality, and ensure consistency across pipelines and dashboards.

Additionally, you will play a critical role in cost optimization for data operations, owning efficient data modeling and pipeline performance. This position is also key in building and scaling our enterprise data warehouse, helping to shape the future of our data ecosystem.

- Design, develop, and maintain scalable data pipelines using Snowflake and cloud technologies.

- Own and manage cost optimization for Product and Data Science team operations.

- Optimize pipelines for performance, reliability, and efficiency.

- Build and maintain dashboards and reporting platforms using Streamlit.

- Collaborate with cross-functional teams to gather requirements and deliver robust data solutions.

- Work with modern AI tools, including Cursor, to accelerate development.

- Implement data governance, security best practices, and access control policies.

- Develop and enforce data quality checks, SLA monitoring, and dependency tracking.

- Utilize version control systems (e.g., Git) and manage deployment workflows.

- Bachelor's degree in Computer Science, Engineering, or a related field.

- Proven hands-on experience with Snowflake, including data modeling, ETL/ELT development, and performance tuning.

- Advanced proficiency in Python, with experience scripting and automating data workflows.

- Proven experience working with Spark for large-scale data processing.

- Demonstrated experience building Streamlit applications integrated with Snowflake.

- Strong command of SQL for complex data querying and analysis.

- Familiarity with cloud platforms such as AWS, Azure, or GCP, and services like S3, Redshift, or BigQuery.

- Ability to thrive both independently and as part of a collaborative, fast-paced team environment.

- Master's degree in Computer Science, Engineering, or a related discipline.

- Strong understanding of data warehousing principles, architecture, and best practices.

- Experience working within Agile development frameworks (e.g., Scrum, Kanban).