Technical Lead - (Azure/AWS/GCP)

Dentsu Global Services

Maharashtra

On-site

INR 1,200,000 - 2,000,000

Full time

14 days+

Get more replies from employers

Send a job-specific resume in minutes.

Job summary

Dentsu Global Services is looking for a Data Engineer-Technical Lead in Maharashtra, India. This role involves designing, developing, and optimizing data pipelines using cloud platforms like AWS, Azure, and GCP. The ideal candidate has 6-10 years of hands-on experience in data engineering and solid Python skills.

Applicants should hold a Bachelor’s or Master’s degree in a relevant field and have experience with data modeling, ETL processes, and cloud data platforms such as Databricks and Snowflake. This is a full-time, permanent role with specific shift timings.

Qualifications

Minimum 6 years of experience in data engineering roles.
Ability to manage and develop data pipelines across AWS, Azure, and GCP.
Strong communication skills for collaborating with stakeholders.

Responsibilities

Design and maintain scalable data pipelines.
Implement ETL processes and data transformations.
Collaborate with architects on data architectures.
Support pre-sales efforts with technical inputs.
Guide and mentor junior developers.

Skills

Hands-on experience in data engineering

Proficiency in AWS, Azure, GCP

Data modeling and ETL/ELT skills

Strong Python development skills

Experience with SaaS-based data platforms

Familiarity with Master Data Management solutions

Knowledge of data governance and security

Basic knowledge of AI/ML concepts

Education

Bachelor’s or Master’s in Computer Science or related field

Tools

Databricks

Snowflake

Job description

The purpose of this role is to maintain, improve, clean and manipulate data in the business’s operational and analytics databases. The Data Engineer works with the business’s software engineers, data analytics teams, data scientists and data warehouse engineers in order to understand and aid in the implementation of database requirements, analyse performance, and troubleshoot any existent issues.

Business Title

Data Engineer-Technical Lead

Years Of Experience

Min 6 and max upto 10.

Job Description

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.

Must have skills

Core Technical 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 optimization 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.

Key responsibilities

Design, develop, and maintain robust, scalable, and secure data pipelines and platforms across AWS, Azure, and GCP.
Write high‑quality, maintainable code in Python and SQL; implement ETL/ELT processes and data transformations.
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.
Guide and mentor junior developers, conduct code reviews, and promote best practices within the team.
Stay current with emerging cloud, data engineering, and AI technologies and recommend improvements to existing platforms.

Education Qualification