Data Engineering & Processing
- Develop and maintain data pipelines for ingesting data from APIs, databases, and flat files
- Implement ETL/ELT processes using Python and SQL
- Perform data cleaning, transformation, and validation
- Support integration of data across internal and external systems
- Assist in maintaining data workflows and troubleshooting data issues
Data Analysis & Reporting
- Support development of reports, dashboards, and analytical datasets
- Perform exploratory data analysis to generate insights
- Prepare datasets for analytics and AI use cases
- Collaborate with stakeholders to understand reporting and data needs
AI / ML Implementation
- Support development of AI-powered application features
- Integrate with pre-built LLM APIs and AI services
- Assist in prompt design and experimentation
- Contribute to basic retrieval and knowledge-based systems
- Test and evaluate AI outputs for accuracy and performance
Application & API Support
- Assist in integrating data and AI components into APIs and backend systems
- Support API testing, validation, and debugging (e.g., Postman)
- Collaborate with frontend and backend teams to enable data-driven features
Database Development
- Write and optimize SQL queries for data extraction and transformation
- Support database schema updates and maintenance
- Ensure data consistency and basic performance optimization
Cloud & Platform Support (Azure)
- Assist in deploying and managing data and AI workloads on Azure
- Support configuration of cloud resources under guidance
- Monitor system performance and assist in troubleshooting issues
Security & Compliance Support
- Follow secure coding practices for data and AI solutions
- Assist in implementing authentication and access controls
- Ensure adherence to data governance and compliance standards
Internal Tools &
📌 Data & AI Engineer (India)
🏢 Dentsu Global Services
📍 India
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