Description

You will design and architect end-to-end data solutions.

Responsibilities

• Design and architect end-to-end data solutions leveraging Snowflake.
• Build and optimize ETL/ELT pipelines using Marillion, ensuring scalability and performance.
• Develop data models (conceptual, logical, and physical) addressing business requirements.
• Define and enforce data governance, data quality, and metadata management standards.
• Optimize Snowflake performance, including clustering, micro-partitioning, and warehouse sizing.

Required Skills

• 10+ years of experience in data engineering or data architecture roles.
• Strong hands-on expertise in Marillion ETL/ELT (jobs, orchestration, transformations).
• Deep understanding of Snowflake—warehouses, schema design, streams, tasks, materialized views, and performance tuning.
• Proficiency in SQL, data modeling, and data warehouse concepts (Kimball/Inmon).
• Experience with cloud platforms (AWS, Azure, GCP), specifically AWS services like S3, Lambda, EC2, IAM.
• Strong understanding of batch and real-time data processing patterns.
• Knowledge of data governance, master data management, and metadata frameworks.
• Experience with version control (Git) and CI/CD workflows.

Key Skills

Education

Any Graduate