Technical Lead - (Azure/AWS/GCP)

Dentsu Global Services Private Limited; Pune District; On-site; INR 2,600,000 - 5,200,000; Full time

Job summary

Dentsu Global Services Private Limited, in Pune (DGS India), is hiring a senior data engineer to design and deliver scalable data pipelines across cloud platforms. You'll work closely with data architects, QA and DevOps to implement robust, governed data solutions that enable analytics, BI and downstream consumption.

The role requires 7–10 years in data engineering, strong Python, and hands-on cloud experience (AWS/Azure/GCP) with MDM and lakehouse architectures.

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.
• Experience with 2 cloud platforms is mandatory.
• Expertise in data modeling, ETL/ELT, data warehousing, and lakehouse architectures.
• Strong Python development skills for data engineering and automation.
• Experience with SaaS-based data platforms (Databricks, Snowflake, etc.).
• Experience implementing Master Data Management (MDM) solutions.
• Knowledge of data governance, security, and compliance in cloud environments.
• Exposure to AI concepts and intelligent workflow augmentation is a plus.
• Ability to design, build and optimize scalable data pipelines.
• Experience in query optimization and cost optimization across clouds.
• Hands-on experience supporting analytics, BI, and downstream layers.
• Strong communication to collaborate with architects, QA, DevOps and stakeholders.

Responsibilities

• Design, build, and optimize scalable data pipelines across cloud platforms.
• Collaborate with architects, QA, DevOps and business stakeholders.
• Implement data governance, security controls and cost-optimised solutions.

Skills

Data engineering

Cloud platforms

Python development

ETL/ELT

Data modeling

Data warehousing

Lakehouse architectures

SaaS data platforms

MDM tools

Data governance

AI concepts exposure

Data pipelines optimization

Query performance tuning

BI/Analytics support

Communication with stakeholders

Education

Bachelor’s or Master’s degree in Computer Science/Info Systems/Data Engineering

Tools

Databricks

Snowflake

Informatica

Reltio

Profisee

BigQuery

Synapse

Redshift

AWS

Azure

GCP

Job description

Must have skills:

• 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).
• Experience implementing and integrating Master Data Management (MDM) solutions such as Informatica, Reltio, Profisee, or equivalent tools.
• 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.
• Experience in query optimization, performance tuning, and cost optimisation across cloud data platforms.
• 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.

Good to have skills:

• Familiarity with AI/ML integration into data platforms and analytics workflows.
• Prior experience working in a consulting or professional services environment.

Education Qualification:

Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Engineering, or a related field.

Certification

If Any AWS Data Analytics / Solutions Architect Azure Data Engineer Associate GCP Professional Data Engineer Any two of the above Databricks, Snowflake, or other cloud data platform certifications are a plus.

Shift timing12 PM to 9 PM and / or 2 PM to 11 PM - IST time zone

Location: DGS India - Pune - Kharadi EON Free Zone

Brand: Merkle

Time Type: Full time

Contract Type: Permanent

About dentsu

For over 120 years, innovation has been a core tenet of our offering – exploring new ways to reach, engage and nurture relationships with audiences.

Together we drive a multiplier effect for clients at a global scale, through the development of Integrated Growth Solutions that are underpinned by our promise to clients: innovating to impact.

Be a force for good.

Sustainability is a vital part of our business and an important area of focus for our clients.

We’re leading the way – helping to build a more sustainable planet.

Dream loud.

In this moment of transformation, we need our people to be fearless, embracing change and ambiguity, driven by the love for our work and excitement for the future.

Team without limits.

We create opportunities for connection and collaboration between our colleagues and clients, building a sense of belonging and having some fun along the way.

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