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0425 - 183QUA | Data Engineer - Snowflake (SQL & ETL Orchestration)

Summary

Designs and optimizes SQL-based ETL pipelines in Snowflake to feed BI dashboards, focusing on stored procedures, data models, and query performance.

Data Engineer - Snowflake (SQL & ETL Orchestration)

About the Role

We are seeking a skilled and motivated Data Engineer to join our team. The ideal candidate will have expertise in SQL, Snowflake, stored procedures, and ETL orchestration within a data warehousing environment. This role focuses on designing, developing, and optimizing SQL-based data solutions to support business intelligence and reporting needs. You will collaborate with cross-functional teams to ensure efficient data processing and high-performance analytics solutions.

Key Responsibilities

  • Design, develop, and maintain SQL-based ETL processes within Snowflake.

  • Build and optimize stored procedures, views, and SQL queries to support reporting and analytics.

  • Develop data models and transformations to ensure efficient data retrieval and processing.

  • Collaborate with BI teams to support Power BI, Tableau, or other visualization tools by preparing optimized data structures.

  • Work with relational and dimensional data models to ensure high data quality and performance.

  • Troubleshoot and optimize SQL queries for efficiency and scalability.

  • Ensure data integrity, security, and best practices in database development.

Required Skills & Experience

  • Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.

  • Strong proficiency in SQL, Snowflake, stored procedures, and data modeling.

  • Hands-on experience with ETL orchestration and data warehouse development.

  • Strong analytical skills to understand data relationships, natural keys, and grain levels.

  • Experience working with relational and dimensional models.

  • Ability to collaborate with BI and analytics teams to optimize data for reporting.

  • Excellent problem-solving and communication skills.

Bonus Skills

  • Experience with ETL scheduling tools and automation.

  • Basic knowledge of Power BI, Tableau, or other visualization tools.




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