▷ [3 Days Left] Data Engineer

3 weeks ago

India Zetheta Algorithms Private Limited Full time

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: As a Data Engineer intern, you will work on designing data models, implementing ETL processes, and optimizing data storage solutions. You will have the opportunity to engage in multiple mini-projects across various data engineering domains. The internship is designed to provide practical exposure to data engineering in a FinTech environment.

Key Responsibilities As part of the internship, you will work through a structured set of assignments designed to enhance your understanding of data engineering principles and practices. Your primary responsibilities will include:

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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