Senior Data Engineer.
This mandate is run by SYMPHONI HR, a Mumbai-based executive search firm, est. 2003. Applications are email-verified and reach the search team running the role — confidentially, always.
About the organisation.
Our client is a leading global computer software organization known for delivering innovative digital transformation solutions. They operate at a significant scale, supporting complex enterprise environments with a focus on cutting-edge analytics and cloud-native technologies. The company fosters a culture of continuous learning and technical excellence, empowering professionals to solve high-impact business challenges.
About the role.
We are looking for a highly skilled Senior Data Engineer to lead a large-scale BI modernization initiative. You will be responsible for transforming legacy reporting platforms into a modern, cloud-based analytics ecosystem while integrating advanced Generative AI capabilities. This role involves close collaboration with business stakeholders to design scalable data pipelines and deliver intelligent, AI-powered insights.
What you will do.
- Design and develop scalable data pipelines using Python, SQL, and Databricks.
- Build and optimize complex data models for advanced analytics and reporting.
- Develop Power BI semantic models, datasets, and executive-level dashboards.
- Implement AI and machine learning solutions to enhance business decision-making.
- Leverage Azure AI and OpenAI services to build intelligent analytics capabilities.
- Execute the migration of reporting assets from legacy BI platforms to Power BI.
- Ensure data quality, governance, lineage, and compliance standards are maintained.
- Optimize the performance of large-scale reporting and analytical workloads.
- Collaborate with cross-functional teams to define KPIs and reporting requirements.
What you bring.
- 8–12 years of experience in Data Engineering, Analytics Engineering, or AI Engineering.
- Strong hands-on expertise in Python, SQL, and Databricks using PySpark.
- Extensive experience with Power BI, DAX, and semantic modeling.
- Proven track record in building ETL/ELT pipelines within Azure cloud environments.
- Experience with Azure OpenAI, Microsoft Copilot, or Generative AI solutions.
- Familiarity with data governance tools such as Collibra or Microsoft Purview.
- Prior experience in the Banking or Financial Services domain is highly preferred.
- Experience with Tableau-to-Power BI migration initiatives.
- Excellent communication skills with the ability to manage business stakeholders.
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