Summary: The Data Engineer role requires a candidate with over 5 years of experience in building and optimizing ETL/ELT pipelines using Snowflake, DBT, Python, and AWS. The position involves designing data warehouse architecture, implementing data transformation workflows, and ensuring data quality and reliability. Collaboration with data engineers, analysts, and stakeholders is essential to meet data needs effectively.

Key Responsibilities:

• Design, build, and optimize ETL/ELT pipelines using DBT and Snowflake.
• Implement data transformation workflows using DBT (core/cloud).
• Utilize Python for automation and data processing tasks.
• Perform SQL performance tuning and query optimization techniques using Snowflake.
• Troubleshoot and optimize DBT models and Snowflake performance.
• Ensure data quality, reliability, and consistency across different environments.
• Collaborate with data engineers, data analysts, and business stakeholders to understand data needs.
• Utilize CI/CD and version control (Git) tools.
• Experience with orchestration tools such as Airflow.
• Demonstrate strong analytical and problem-solving skills in an agile development environment.

Key Skills:

• Strong experience with Snowflake, DBT, Python, and AWS.
• Proficiency in SQL performance tuning and query optimization.
• Experience with data transformation and modeling using DBT.
• Strong Python programming skills for automation.
• Knowledge of CI/CD and version control (Git).
• Experience with orchestration tools like Airflow.
• Strong analytical and problem-solving skills.
• Ability to work independently in an agile environment.
• Understanding of data quality and reliability principles.

Salary (Rate): undetermined

City: Luton

Country: United Kingdom

Working Arrangements: undetermined

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT