Senior Data Engineer - Snowflake, Python, DBT

Role Summary

In this role, you will be instrumental in designing and implementing data pipelines that power our data-driven initiatives. You will utilize your expertise in Snowflake, Python, and dbt to build and maintain scalable data architectures that enable insightful decision-making.

Responsibilities

• Develop and execute efficient data pipelines with Snowflake and Python to streamline data processing and storage.
• Work closely with data analysts and business teams to gather data requirements and convert them into technical documentation.
• Employ dbt for effective data modeling and transformation, ensuring high standards of data quality throughout the ETL process.
• Monitor, troubleshoot, and optimize existing data workflows for enhanced performance and reliability.
• Keep abreast of evolving industry trends and technologies to refine and advance our data engineering practices.

Must-Have Skills

• Strong proficiency in Snowflake for cloud-based data warehousing solutions.
• Expertise in Python programming for data manipulation and analysis.
• Solid experience with dbt for transforming raw data into structured formats.
• In-depth understanding of best practices in data warehousing methodologies.
• Excellent communication skills for engaging effectively with both technical and non-technical stakeholders.

Good-to-Have Skills

• Familiarity with additional ETL tools and frameworks beyond dbt.
• Knowledge of cloud infrastructure services related to data engineering.

If you are ready to take on a pivotal role in our organization as a Senior Data Engineer, we encourage you to apply.