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Job Title: Data Engineer (Fresher)

About the Role:
As a Data Engineer, you will support the design and development of scalable data pipelines and platforms that power analytics and AI initiatives across the banking organization. The role involves working on data ingestion, transformation, storage, and modern cloud-based engineering practices in an enterprise environment.

 

Key Responsibilities

  • Assist in building and maintaining data pipelines using Python and cloud engineering tools.
  • Support data integration and processing from multiple source systems.
  • Work with databases, data lakes, and cloud infrastructure to enable seamless data flow.
  • Implement data quality checks, monitoring, logging, and documentation.
  • Collaborate closely with data scientists, platform engineers, and cross-functional teams.
  • Utilize and apply knowledge of Hadoop, PySpark, and HQL for big data processing.

 

Qualification & Specialization

  • Master’s degree in Computer Science, Information Technology, or a related field.

 

Unique Experience Offered

  • Exposure to enterprise-scale data platforms and modern data engineering workflows.
  • Hands-on experience with cloud infrastructure and large-scale data environments used in BFSI.
  • Opportunity to work with cutting-edge tools and best practices for data pipelines and automation.

 

Learning Outcomes

  • Build strong foundational skills in data engineering, cloud technologies, and infrastructure-as-code.
  • Understand how enterprise data platforms support analytics, AI, and decision-making systems.
  • Develop practical experience in data ingestion, big data technologies, and scalable pipeline engineering.