Description

Design, develop, and maintain scalable data pipelines using Snowflake.

Strong experience in data modeling, including dimensional modeling, star and snowflake schemas.

Develop complex SQL queries, stored procedures, and performance-optimized data transformations.

Build and maintain ETL/ELT pipelines using tools such as Informatica, Azure Data Factory, dbt, or similar.

Implement data integration from multiple source systems into Snowflake.

Optimize Snowflake queries, warehouses, storage, and overall performance.

Develop data models for analytics, reporting, and business intelligence.

Ensure data quality, accuracy, security, and governance.

Work with business analysts, architects, and data teams to understand requirements.

Troubleshoot data pipeline and production issues.

Participate in code reviews, documentation, and technical design discussions.

Required Skills:

7+ years of experience in Data Engineering.

Strong hands-on experience with Azure and Azure Data factory.

Strong SQL and Data Modeling skills.

Experience with ETL/ELT and data warehousing concepts.

Experience with cloud platforms such as AWS or Azure.

Knowledge of Python is preferred.

Experience with Git, CI/CD, and Agile methodologies

Key Skills

Education

Bachelor's degree