dentsu
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Visakhapatnam · Remote · 1-3 Yrs · Sep 8
Advertising & Public Relations · 5001 to 10000 Employees · Minato, Japan
Hiring: Engineering
What employees say
+ Flexible work from home options available
− On a serious note, they won't consider career of a candidate who joins in the company with ambitions. I was onboarded on a project after 40 days in bench, then off boarded within 2
More reviews on the company profile.
Interview experience · Project Manager
First HR Round, second Technical 1 and Technical 2, third Director meet. Final round with HR. Hiring process easy. Awaiting next step in the interview. Confusion in the job description and interviewer role expectation
Average difficulty · Bengaluru · 119 reports
More interview insightsJob description
Overview
Job Details Exp: 5 - 7 Years
Responsibilities
- Exp: 5 - 7 Years
- Location: Remote
- Work Timings: 06.30 P.M. - 03.30 A.M.
- Notice Period: Immediate Joiners only
- 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
- Follow secure coding practices for data and AI solutions
- Assist in implementing authentication and access controls
- Ensure adherence to data governance and compliance standards
Qualifications
- 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
- 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
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Job application FAQ
Last updated 15 September 2026
- How do I apply for Azure Data & AI Engineer at dentsu?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. dentsu may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Azure Data & AI Engineer role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Azure Data & AI Engineer remote or on-site in Visakhapatnam, Andhra Pradesh?
- This listing is marked remote with location Visakhapatnam, Andhra Pradesh. Confirm details on the job description before applying.
- What skills matter for this Azure Data & AI Engineer role at dentsu?
- This is a mid-level Azure Data & AI Engineer role. Key skills include Remote. Feedback AI highlights matched vs missing skills on your profile after signup.