Description

You will build and maintain data integration systems to support large-scale analytical needs.

Responsibilities

• Analyze business requirements to determine technical specifications for data integration.
• Design, implement, and maintain ETL pipelines for efficient data transformation and storage.
• Develop and maintain solutions for processing databases containing millions of records.
• Build multidimensional analytical models within data warehousing environments.
• Collaborate with cross-functional teams to deliver data solutions for specific business needs.

Required Skills

• 5+ years of experience in data engineering or related roles.
• Expertise in SQL Server and Python.
• Hands-on experience with SQL Server Integration Services (SSIS).
• Proven ability to manage and analyze databases with millions of records.
• Experience designing ETL pipelines and managing data warehousing environments.
• Proficiency with Power BI and other data visualization tools.
• Knowledge of cloud services including GCP, AWS, or Azure.
• Solid understanding of banking products.
• Degree in any graduate field.

Preferred Skills

• Experience with Datatools.

Key Skills

Education

Any Graduate