Job Details

Exp: 5 - 7 Years

Location: Remote

Work Timings: 06.30 P.M. - 03.30 A.M.

Notice Period: Immediate Joiners only

Core Responsibilities

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 & Platform Support (Retool)

- Assist in building and maintaining Retool applications
- Support development of internal tools and dashboards
- Integrate applications with APIs and data sources

Collaboration & Development

- Work closely with the Lead Full Stack Engineer (L40) on execution and delivery
- Collaborate with cross-functional teams across engineering, data, and product
- Participate in code reviews, design discussions, and knowledge-sharing
- Continuously learn and adopt best practices in AI, data engineering, and software development

Profile Summary

- Strong foundation in Python and SQL for data processing
- Basic understanding of APIs, backend systems, and application integration
- Familiarity with AI/ML concepts and LLM-based tools
- Exposure to cloud platforms (Azure preferred)
- Solid analytical thinking and problem-solving ability
- Ability to work effectively in a guided, team-oriented environment

Preferred / Good to Have

- Experience with vector databases (e.g., Azure AI Search or similar)
- Exposure to cloud-native backend systems and APIs
- Basic understanding of MLOps, CI/CD, and model lifecycle management
- Knowledge of data engineering concepts (CDC, incremental loads, streaming pipelines)
- Familiarity with monitoring, observability, and performance tuning
- Understanding of Responsible AI practices and governance
- Experience with analytics tools (e.g., Power BI, Tableau)

Preferred Media Domain Experience

- Programmatic advertising systems (DSP, SSP)
- Personalization and recommendation platforms
- Identity resolution and post-cookie ecosystem
- Marketing analytics, attribution, and campaign optimization systems
- Ad-tech ecosystem – programmatic advertising (DSP/SSP), targeting, identity resolution, and campaign performance measurement

📌 Azure Data & AI Engineer (India)
🏢 Dentsu Global Services
📍 India