Data Engineer Snowflake Data Pipelines with DBT and Strong in Python(Must need 15+ years of Experience)

Summary: The role is for a Data Engineer specializing in Snowflake data pipelines, requiring extensive experience in Python and related technologies. The position is fully remote and demands a minimum of 15 years of relevant experience. Candidates should be proficient in DBT, ETL, and ELT processes, along with a strong background in data warehousing and business intelligence tools. Collaboration with engineering and DevOps teams is essential for implementing and managing data solutions.

Key Responsibilities:

• Develop data pipelines for streaming and batch data processing needs to move data in and out of Snowflake data warehouse.
• Collaborate with engineering and DevOps team members to implement, test, deploy, and operate data pipelines and ETL solutions.
• Hands-on experience with Snowflake, including schema design, query optimization, and data load techniques.
• Hands-on reporting experience leveraging Business Intelligence tools such as Looker, Qlik, Tableau, Power BI, etc.
• Experience with DBT, including model development, testing, and documentation.

Key Skills:

• DBT, Snowflake, ETL, ELT.
• Python (5+ years experience).
• AWS, Anaconda, & Jupyter Notebook.
• 15+ years of experience in data engineering.
• 10 years of hands-on experience with Snowflake.
• 8 years of experience with Business Intelligence tools.

Salary (Rate): undetermined

City: undetermined

Country: undetermined

Working Arrangements: remote

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT