Mandatory Skills

- Data Analytics
Data Stewardship

- Major Responsibilities :

- Have context or business tracks and business relevance. Also, act as the key contact point in GBS for Advance Analytics initiatives.
- Serve as a bridge between LoB teams and IT Support teams (NNEDL, NNI AI ML platform, SnowFlake, DataBricks, Microsoft etc).
- Lead strategic Data Engineering projects and supervise the implementation of best practices (processes and technologies) in collaboration with data engineers across the department .
- Assume the responsibilities of a Technical Architect for Data Analytics and Data Science Projects, including conducting POCs for emerging technologies and guiding Analytics
- Take on the role of a functional lead for junior and mid-senior team members, as well as for business interactions.
- Drive the adoption of Data Engineering and Data Stewardship through active participation in senior leadership-level meetings.
- Lead strategic business projects and prove the impact of Data Engineering and Data Science.
- Engage in senior-level meetings to drive Data Engineering adoption.




- Engage in senior-level meetings to drive Data Steward and Data Ownership adoption.
- Collaborate with internal teams within Departments.
- Serve as an evangelist for the data and analytics services offered.
- Advice on data engineering architecture/technologies.
- Gain industry recognition.
- Experience with pharma industry.

About 7N :

Over decades, 7N has been part of several waves of digitalization. Today, our consultants work across industries and geographical borders to deliver the projects that define the current digital realities. We offer a highly specialized portfolio of IT services and solutions delivered by the top 3% of IT professionals. Our expertise spans across many industries, providing digital transformation across all phases of the IT project life cycle.

By engaging early with 7N, you benefit from our experience and expertise when defining the project scope and strategic needs, and you gain flexibility to accommodate changing demands while maintaining control and ownership of IT development.

📌 Data Engineer (Bengaluru)
🏢 7N
📍 Bengaluru