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Bangalore senior data-engineer role with broad, in-demand toolset and metro location attracts high competition.
Deep SAP finance, Databricks and Fabric expertise required, limiting transferability across industries.
Explicit 8–10y requirement plus extensive Databricks, Fabric, SAP and AI stack creates rigorous filtering.
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Architect and implement end-to-end analytical data pipelines and platforms using Databricks and Microsoft Fabric technologies focusing on finance data domains.
Develop AI-driven finance applications and automate finance processes integrating SAP and cloud data sources with production-grade code and CI/CD.
Serve as strategic consultant for senior finance stakeholders by translating business needs into technical solutions, establishing architecture standards, and mentoring team members.
8-10 years experience in Data Architecture, Data Engineering, and AI integration with strong Python skills.
Hands-on expertise with Microsoft Fabric (Semantic Models, Data Factory) and Databricks (Unity Catalog, Delta Lake, DLT, Genie, Model Serving).
Strong knowledge of SAP FI, CO, SD modules and ABAP program interpretation preferred.
Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or Finance; MBA, B.Com, or CA is a strong advantage.
Experienced in architecting large-scale finance data solutions including data governance and Medallion Architecture in enterprise environments.
Proven ability to build and deploy AI applications using modern frameworks like LangChain, RAG and handle cloud orchestration and monitoring.
Strategic, consultative mindset skilled at engaging senior leadership to define business cases and improve finance processes through automation.