Responsibilities:

• Collaborate with cross-functional teams to understand data requirements and develop efficient data models and structures using Snowflake.
• Design and implement scalable data pipelines, integrating various data sources into Snowflake.
• Develop SQL queries and scripts to extract, transform, and load (ETL) data from different sources into Snowflake.
• Optimize data processes, ensuring data quality, integrity, and availability.
• Perform data analysis, identify trends, and provide actionable insights to support business decisions.
• Develop and maintain documentation, including data dictionaries, metadata, and data lineage.
• Collaborate with data scientists and business analysts to design and implement analytical solutions and models.
• Monitor and troubleshoot data pipelines, identifying and resolving performance issues.
• Stay up to date with industry best practices and emerging trends in data engineering and Snowflake technologies.

Requirements:

• Bachelor's or Master's degree in Computer Science, Information Systems, or a related field.
• 6 to 12 years of experience working as a Data Analyst/Engineer, with a focus on Snowflake.
• Strong understanding of data modeling, database design, and data warehousing concepts.
• Proficiency in Snowflake's data warehouse architecture and features.
• Extensive experience with SQL and scripting languages (Python, R, etc.).
• Proven track record of designing and implementing scalable, efficient, and reliable data solutions.
• Excellent problem-solving and troubleshooting skills.
• Ability to work independently and collaboratively in a fast-paced environment.
• Strong communication and interpersonal skills.

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