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Bengaluru · On-site · 7-10 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
Notice Period: Immediate to 30 Days
Responsibilities
- Technical Lead with strong hands‑on experience in cloud-based data platforms (AWS, Azure, GCP) to design, develop, and optimize scalable data solutions.
- This role focuses on building robust data pipelines, implementing modern data platforms, contributing to solution designs, and supporting pre‑sales and client discussions. The ideal candidate is a seasoned developer who can work independently on complex data engineering problems while collaborating closely with architects, stakeholders, and junior engineers.
- Design, develop, and maintain robust, scalable, and secure data pipelines and platforms across AWS, Azure, and GCP.
- Collaborate with solution architects to implement approved data architectures and provide development-level design inputs.
- Support pre-sales efforts by contributing to technical inputs, building PoCs, demos, and solution prototypes when required.
- Implement data quality checks, governance standards, security controls, and compliance requirements in developed solutions.
- Work closely with cross-functional teams to understand requirements and translate them into effective technical implementations.
- Stay current with emerging cloud, data engineering, and AI technologies and recommend improvements to existing platforms.
Qualifications
- 7–10 years of hands‑on experience in data engineering and development roles.
- Strong hands-on experience with AWS and/or Azure and/or GCP data services such as BigQuery, Synapse, Redshift, Databricks, etc. Any 2 cloud experience is mandatory.
- Solid expertise in data modeling, ETL/ELT pipeline development, data warehousing, and lakehouse architectures.
- Strong Python development skills for data engineering, automation, orchestration, and solution prototyping.
- Extensive experience working with SaaS-based data platforms (e.g., Databricks, Snowflake, managed analytics services).
- Practical knowledge of data governance, security, access control, and compliance requirements in cloud environments.
- Basic exposure to Agentic AI concepts, such as AI-driven automation, data orchestration, or intelligent workflow augmentation.
- Ability to design, build, and optimize scalable and high-performance data pipelines.
- Hands-on experience supporting analytics, BI, and downstream consumption layers.
- Strong verbal and written communication skills to effectively collaborate with architects, QA, DevOps, and business stakeholders.
- Ability to explain complex technical concepts clearly to non-technical audiences.
Nice to have
- Familiarity with AI/ML integration into data platforms and analytics workflows.
- Prior experience working in a consulting or professional services environment.
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Job application FAQ
Last updated 19 September 2026
- How do I apply for Data Engineer - (Snowflake + Azure) 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.
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- 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 Data Engineer - (Snowflake + Azure) remote or on-site in Bengaluru, Karnataka?
- This listing is marked on_site with location Bengaluru, Karnataka. Confirm details on the job description before applying.
- What skills matter for this Data Engineer - (Snowflake + Azure) role at dentsu?
- This is a mid-level Data Engineer - (Snowflake + Azure) role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.