0 years

0.0 Lacs P.A.

India

Posted:1 week ago| Platform: Linkedin logo

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Skills Required

dataalgorithmsaietlstorageengineeringpipelinedevelopmentdesignextractionanalyticsdatabaseanalysismanagementmonitoringgovernanceoptimizationquerystrategiesindexingmodelintegrationmltechnologysqlprocessingduration

Work Mode

On-site

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: As a Data Engineer, 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 Show more Show less

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