Description

You will build and maintain secure, efficient, and business-critical data pipelines.

Responsibilities

• Develop strong ETL processes for data ingestion and transformation.
• Design and implement data warehousing solutions using bronze, silver, and gold layers.
• Manage data integration across relational and NoSQL stores.
• Utilize Azure services to automate and orchestrate data workflows.

Required Skills

• 5+ years of experience in data engineering.
• Proficiency with PySpark for large-scale data processing.
• Experience with Azure Data Factory (ADF) and Azure Databricks.
• Strong working knowledge of Azure Data Lake (ADLS) and Azure SQL.
• Experience integrating with MongoDB.
• Familiarity with data warehousing concepts (tabular/multi-dimensional cubes).
• Ability to work across cross-functional teams.

Preferred Skills

• Experience in insurance or reinsurance data domains.
• Familiarity with Agile/SCRUM methodology.

Key Skills

Education

Any Graduate