Data Engineer

 About The Role  



Project Role :Data Engineer




Project Role Description :Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems.


Must have skills :Google BigQuery



Good to have skills :NA
Minimum

12 year(s) of experience is required



Educational Qualification :15 years full time education



Summary:Seeking a forward-thinking professional with an AI-first mindset to design, develop, and deploy enterprise-grade solutions using Generative and Agentic AI frameworks that drive innovation, efficiency, and business transformation. As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand their data needs and provide effective solutions, ensuring that the data infrastructure is robust and scalable to meet the demands of the organization.Roles & Responsibilities:- Expected to be an SME.

Lead AI-driven solution design and delivery by applying GenAI and Agentic AI to address complex business challenges, automate processes, and integrate intelligent insights into enterprise workflows for measurable impact.

Collaborate and manage the team to perform.

Responsible for team decisions.

Engage with multiple teams and contribute on key decisions.

Expected to provide solutions to problems that apply across multiple teams.

Mentor junior team members to enhance their skills and knowledge in data engineering.

Continuously evaluate and improve data processes to enhance efficiency and effectiveness.Professional & Technical

Skills:

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Must To Have

Skills:

Strong grasp of Generative and Agentic AI, prompt engineering, and AI evaluation frameworks. Ability to align AI capabilities with business objectives while ensuring scalability, responsible use, and tangible value realization.Proficiency in Google BigQuery.

Experience with data warehousing solutions and architecture.

Strong understanding of ETL processes and data integration techniques.

Familiarity with data modeling concepts and best practices.

Knowledge of SQL and database management systems.

Additional Information:- The candidate should have minimum 12 years of experience in Google BigQuery.

This position is based at our Mumbai office.

A 15 years full time education is required.

 Qualification 15 years full time education