Job Description:
Build the data platforms that enable the next generation of AI
AI is changing how organizations work, make decisions, and create value, while companies are increasingly investing in data, analytics, and AI to strengthen their competitiveness and create new business opportunities.

Despite this, many organizations still struggle to realize the full value of their investments. Data is often spread across multiple systems, legacy platforms limit development, and a lack of structure makes it challenging to scale analytics and AI initiatives.

As a Data Engineer at Nexer Insight, you help our customers solve these challenges by designing and building contemporary data platforms that enable business-critical decisions, advanced analytics, and AI solutions.

Your work contributes to how organizations use their data, accelerate their AI adoption, and create measurable business value.
Challenges you will work with:
Modernizing existing data platforms
Creating scalable and reliable data foundations
Improving data quality and governance
Enabling advanced analytics and reporting




Building the conditions required for AI adoption
Projects and tasks you may be part of:
Building Microsoft Fabric platforms for global organizations
Designing modern lakehouse architectures with Azure and Databricks
Developing data pipelines that support AI and Machine Learning initiatives
Enabling real-time analytics for business-critical operations
Creating the data foundations required for Generative AI
No two projects are alike. You will work with customers across different industries where data is a central strategic asset that drives insights, decisions, and development.
Technologies and platforms you may work with:
Microsoft Fabric
Azure Data Factory
Azure Data Lake
Databricks
SQL
Python
Power BI
Git and CI/CD

Why Nexer?
With us, you become part of a team of architects, data engineers, data scientists, and AI specialists who work together to help customers solve complex business and t

📌 Data Engineer (Bengaluru)
🏢 Nexer Group
📍 Bengaluru