Snowflake Data Engineer - (Hybrid)

Are you a skilled data engineer with expertise in Snowflake, the cutting-edge cloud data platform? Join the team and play a pivotal role in architecting and optimizing our data infrastructure. As a Snowflake Data Engineer, you will be instrumental in designing, building, and maintaining our data solutions to support analytics, reporting, and business intelligence efforts.

Responsibilities:

• Data Architecture: Design and implement robust data pipelines, data models, and integration strategies using Snowflake.
• ETL Development: Develop and manage ETL processes to extract, transform, and load data from various sources into Snowflake.
• Performance Optimization: Ensure efficient query performance by optimizing data structures, indexes, and query execution in Snowflake.
• Data Quality: Implement data validation, data cleansing, and data quality checks to maintain accurate and reliable data.
• Collaboration: Collaborate with data analysts, scientists, and business stakeholders to understand requirements and deliver valuable insights.
• Security and Compliance: Implement security measures and data governance practices to maintain data privacy and compliance.
• Monitoring and Maintenance: Monitor the health and performance of data pipelines and resolve any issues that arise.
• Documentation: Maintain clear and comprehensive documentation of data pipelines, processes, and transformations.