Description

You will design, build, and maintain scalable data models and transformation pipelines.

Responsibilities

• Build and optimize ELT workflows using Python scripts and orchestration tools.
• Implement data testing and documentation within DBT to ensure data integrity.
• Manage and enhance data warehouse solutions, including Snowflake.
• Translate business requirements from stakeholders into functional data solutions.
• Monitor and troubleshoot data pipelines and complex SQL queries for performance.

Required Skills

• 5+ years of professional experience in data engineering.
• Expert proficiency in SQL, including writing complex, optimized queries.
• Extensive programming experience in Python for data processing and pipeline building.
• Hands-on experience with DBT for modeling, testing, and documentation.
• Experience with cloud data platforms such as AWS, Azure, or Google Cloud Platform.
• Strong understanding of data modeling concepts (e.g., star schema, dimensional modeling).
• Experience with ETL/ELT techniques and tools.
• Proficiency with Git for version control and CICD practices.
• Familiarity with data processing libraries like Pandas or PySpark.

Key Skills

Education

Any Gradute