Azure Data & AI Engineer

Dentsu Global Services; India; On-site; INR 900,000 - 1,500,000; Full time

Job summary

Dentsu Global Services in India is seeking a data-focused professional to build and optimize data pipelines, perform ETL/ELT using Python and SQL, and ensure data quality for analytics and AI use cases.

You will collaborate with cross-functional teams, support API integration, and help deploy data workloads on Azure while learning and applying best practices in AI, data engineering, and software development.

Qualifications

• Strong foundation in Python and SQL for data processing.
• Familiarity with APIs, backend systems, and application integration.
• Exposure to AI/ML concepts and LLM-based tools.
• Experience with cloud platforms (Azure preferred).

Responsibilities

• 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.
• 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.
• 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.
• 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.
• Write and optimize SQL queries for data extraction and transformation.
• Support database schema updates and maintenance.
• Ensure data consistency and basic performance optimization.
• 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.

Skills

Python

SQL

Data pipelines

AI/ML concepts

LLM tools

API integration

Tools

Retool

Power BI

Tableau

Postman

Azure

Job description

• 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
• 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
• 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)
• Strong 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
• Marketing analytics, attribution, and campaign optimization systems
• Ad-tech ecosystem – programmatic advertising (DSP/SSP), targeting, identity resolution, and campaign performance measurement