Snowflake Data Engineer

Responsibilities

• Software Development
• Design, develop, and maintain applications using Python.
• Write efficient, optimized queries in T-SQL for complex data operations.
• Build and manage data pipelines and integrations with Snowflake.
• Data Engineering & Analytics
• Develop scalable ETL/ELT processes for large datasets.
• Optimize data storage, retrieval, and transformation workflows.
• Collaborate with data analysts and business stakeholders to deliver actionable insights.
• Technical Leadership
• Provide guidance and mentorship to junior developers.
• Ensure adherence to coding standards, best practices, and security guidelines.
• Participate in architectural discussions and contribute to technical roadmaps.
• Collaboration
• Work closely with product, engineering, and data teams to align technical solutions with business needs.
• Communicate technical concepts clearly to non-technical stakeholders.
• Required Skills
• Hands-on experience with Snowflake for cloud data warehousing.
• Advanced knowledge of T-SQL for query optimization and database management.
• Proficiency in Python for application and data pipeline development.
• Good-to-Have Skills
• Experience with Hive for big data processing.
• Familiarity with Azure Synapse for analytics and reporting.
• Knowledge of DBT (Data Build Tool) for data transformation and modeling.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or related field.
• 6+ years of professional software development experience.
• Proven track record of delivering scalable, data-driven solutions.
• Strong problem-solving, analytical, and communication skills.

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