Description

You will design, develop, and maintain data infrastructure to support finance transformation initiatives.

Responsibilities

• Design and maintain ETL processes and data pipelines for integration and transformation.
• Implement and optimize data models to ensure efficient storage and retrieval.
• Collaborate with business and data analysts to translate requirements into technical solutions.
• Perform data quality checks to ensure accuracy and consistency across systems.
• Monitor and troubleshoot pipeline issues to maintain data availability.

Required Skills

• 5+ years of experience in data engineering roles.
• Strong expertise in data modeling and designing efficient data structures.
• Solid understanding of ETL processes and data integration techniques.
• Advanced proficiency with SQL and database technologies.
• Deep knowledge of data warehousing concepts and best practices.
• Experience with Python, Java, or Scala.
• Hands-on experience with AWS, Azure, or Google Cloud platforms.
• Any Graduate degree.

Preferred Skills

• Knowledge of finance domain and related data requirements.

Key Skills

Education

Any Graduate