Posted:5 days ago| Platform: Linkedin logo

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Job Type

Internship

Job Description

About the Company

Zetheta Algorithms Private Limited is a FinTech start-up which has been recently set up and is developing innovative AI tools.

https://www.instagram.com/zetheta.official


About the Role

We are seeking a talented and motivated student intern for a Data Engineer role. This is an extraordinary opportunity for a self-driven, technically skilled student with a passion for building robust data pipelines and architectures.


About the Internship:


Key Responsibilities

Data Pipeline Development

  • Design and implement ETL/ELT pipelines
  • Create data extraction processes from various sources
  • Develop data transformation workflows
  • Build data loading mechanisms for analytics systems

Data Modelling

  • Design database schemas for financial data
  • Create dimensional models for analytics
  • Develop data warehouse architectures
  • Build graph models for relationship analysis

Data Quality Management

  • Implement data validation procedures
  • Create data quality monitoring frameworks
  • Develop data cleansing processes
  • Build data governance systems

Performance Optimization

  • Optimize database query performance
  • Create data partitioning strategies
  • Develop data indexing approaches
  • Build caching mechanisms for frequently accessed data

Capstone Project

  • Complete an end-to-end data engineering project including: Pipeline development, Data model design, Quality implementation, and Performance optimization


What You Will Learn

  • Practical experience with data engineering tools and technologies
  • ETL/ELT process development
  • Database design and optimization techniques
  • Data quality management practices
  • Integration of data systems with AI/ML workflows


Who Should Apply?

  • Student or fresh graduate from computer science, information technology, or related disciplines
  • Knowledge of SQL and database concepts
  • Familiarity with data processing tools
  • Basic understanding of data modelling
  • Willingness to self-learn and work in a fast-paced environment


Internship Details

Duration: Self-paced. Option of 1 month or 2 months within a period of 4 months provided.

Type: Unpaid

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