Senior Data Engineer (Product)

Join our team as a Senior Data Engineer, where you will design, build, and maintain scalable data pipelines, optimize data operations, and collaborate with cross-functional teams. You will play a critical role in cost optimization, data governance, and building our enterprise data warehouse. This position offers comprehensive health insurance, retirement plans, and various other benefits.

• Design, develop, and maintain scalable data pipelines using Snowflake and cloud technologies, ensuring performance, reliability, and efficiency.
• Collaborate with cross-functional teams to gather requirements and deliver robust data solutions, including building and maintaining dashboards and reporting platforms.
• Implement data governance, security best practices, and access control policies, and develop and enforce data quality checks, SLA monitoring, and dependency tracking.
• 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
• Bachelor’s degree in Computer Science, Engineering, or a related field
• Ability to thrive both independently and as part of a collaborative, fast-paced team environment
• Familiarity with cloud platforms such as AWS, Azure, or GCP, and services like S3, Redshift, or BigQuery
• Advanced proficiency in Python, with experience scripting and automating data workflows
• Strong problem-solving and communication skills
• Demonstrated experience building Streamlit applications integrated with Snowflake
• Proven experience working with Spark for large-scale data processing
• Proven hands-on experience with Snowflake, including data modeling, ETL/ELT development, and performance tuning
• Strong command of SQL for complex data querying and analysis
• 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)