Data Engineer
2 months ago
We are seeking a highly skilled Data Engineer to join our growing data team. The ideal candidate will have a strong background in data engineering, with at least 3 years of experience working with Snowflake and 2 years of hands-on experience with DBT.
Key Responsibilities- Data Pipeline Development: Design, develop, and maintain efficient, reliable, and scalable ETL pipelines using DBT and Snowflake.
- Data Modeling: Work closely with data analysts and stakeholders to understand business requirements and design data models in Snowflake that support reporting and analytical needs.
- Data Warehousing: Design and optimize data storage and retrieval strategies within Snowflake, ensuring high-performance data processing.
- Automation: Automate routine data pipeline jobs, ensuring data flow is consistent, secure, and optimized.
- Data Integration: Integrate data from multiple sources (internal and external) into Snowflake, ensuring data quality and consistency.
- Performance Optimization: Monitor and optimize the performance of Snowflake queries, storage, and data models.
- Cross-Functional Collaboration: Work cross-functionally with data scientists, data analysts, and business teams to understand data needs and ensure data systems are aligned with business objectives.
- Data Quality & Monitoring: Implement data quality checks and maintain high standards of data accuracy, consistency, and reliability.
- Experience: Minimum of 3 years of hands-on experience with Snowflake as a data engineer, architect, or related role.
- Technical Skills: Strong proficiency in SQL, including writing complex queries and optimizing performance. Experience working with data warehouse solutions, specifically Snowflake. Proficiency with DBT for transforming data, version control, and managing ETL workflows.
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