Description

You will design and implement enterprise-scale data architectures and integration frameworks.

Responsibilities

• Design physical and logical enterprise data models and warehouse architectures.
• Build data lake and warehouse structures using Inmon and Kimball methodologies.
• Architect ETL pipelines to source, analyze, and load data from multiple application databases.
• Define ETL layers including staging, recovery point, warehouse, and mart layers.
• Develop incremental load strategies, mapping designs, error handling, and workflow schedules to meet SLAs.

Required Skills

• 5+ years of experience in data architecture.
• Expertise in Enterprise Data Modelling (Physical and Logical).
• Experience with Normalized, Relational, and Dimensional databases and Star Schemas.
• Advanced SQL proficiency.
• Hands-on experience with Oracle and Snowflake.
• Experience with Informatica PowerCenter or similar ETL tools.
• Knowledge of ETL architecture, including workflow design and mapping.
• Bachelor's degree or equivalent experience.

Preferred Skills

• Experience with Tableau, IBM Cognos Suite, Power BI, Matillion, Alteryx, or Python.

Key Skills

Education

Any Graduate