navyasri

• The trainee is expected to acquire a foundational understanding of data engineering concepts
and principles, including data ingestion, transformation, storage, and retrieval.
• Assist with designing and implementing database schemas.
• Gain hands-on experience with data engineering tools and platforms, which may include SQL
databases, data warehousing solutions, and cloud-based services like AWS.
• Learn about data quality best practices and participate in data validation and testing activities to
ensure data accuracy and consistency.
• Design, implement, and automate data extraction, transformation, and loading processes,(ETL)
ensuring a smooth transition from on-premises servers to cloud-based storage solutions.
• Stay up-to-date with emerging trends and technologies in data engineering through self- study,
online courses, and participation in relevant communities

Acquire a foundational understanding of data engineering concepts and principles, including data ingestion, transformation, storage, and retrieval.
Assist with designing and implementing database schemas.
Gain hands-on experience with data engineering tools and platforms, which may include SQL databases, data warehousing solutions, and cloud-based services like AWS.
Learn about data quality best practices and participate in data validation and testing activities to ensure data accuracy and consistency.
Design, implement, and automate data extraction, transformation, and loading processes (ETL), ensuring a smooth transition from on-premises servers to cloud-based storage solutions.
Stay up-to-date with emerging trends and technologies in data engineering through self-study, online courses, and participation in relevant communities.