Turn this role into an interview — a resume and cover letter built around what this employer wants.
Wipro is seeking an MIS Lead with 8–10 years of backend data engineering and people management experience to design, build, and maintain robust data pipelines and analytical datasets. The role emphasizes advanced SQL, ETL processes, data modeling, and dashboard creation using Google’s data ecosystem.
You will partner with stakeholders to deliver reliable, governed datasets and scalable analytics views, enabling data-driven decision making across large-scale business operations.
Job description:
Job Description
MIS Lead (People Management/Team Handling experience is must)
Data Analytics
The role is responsible for designing, building, and maintaining backend data pipelines and analytical datasets that support large-scale business operations. The position focuses on advanced SQL development, ETL processes, and data modelling, along with analytical insights and dashboard creation using Google’s data ecosystem.
The role works closely with stakeholders, handling structured data at scale and enabling data-driven decision‑making through reliable, well-governed datasets and dashboards.
It is a core backend data engineering and analytics role.
HRO
5-8 Years
Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention.
Job Title: MIS Lead (People Management/Team Handling experience is must)
Job Family: Data Analytics
Role Overview: The role is responsible for designing, building, and maintaining backend data pipelines and analytical datasets that support large-scale business operations. The position focuses on advanced SQL development, ETL processes, and data modelling, along with analytical insights and dashboard creation using Google’s data ecosystem.
The role works closely with stakeholders, handling structured data at scale and enabling data-driven decision-making through reliable, well-governed datasets and dashboards.
It is a core backend data engineering and analytics role.