AI Data Analytics Engineer (Bengaluru)

AI Data Analytics Engineer (Bengaluru)

08 Oct
|
Siemens Healthineers
|
Bengaluru

08 Oct

Siemens Healthineers

Bengaluru

Job Requirements

We are looking for a Senior AI Data Analytics Engineer with robust Data Engineering expertise, analytical thinking, and AI enablement capabilities to build scalable data solutions that power analytics, dashboards, recommendations, and AI-driven use cases.

The role involves designing and evolving data products within a modern Azure + Databricks Lakehouse architecture, enabling business insights and AI solutions through curated, consumption-ready datasets. The ideal candidate will own the end-to-end data lifecycle and work closely with business, product, and engineering teams to deliver scalable and maintainable solutions.

Qualification

• BE / B.Tech / MCA / ME / M.Tech
• 8+ years of experience in Data Engineering / Analytics Engineering

Key Responsibilities

• Lead data quality and governance initiatives, including root-cause analysis, remediation of data inconsistencies, reliability improvements, and exploratory data analysis (EDA)
• Collaborate with business and analytics stakeholders to define ownership, standardized definitions,



and calculation methodologies for KPIs and core business metrics
• Establish consistent sources of truth across systems and ensure the accuracy, consistency, and trustworthiness of datasets, metrics, and analytics outputs
• Design, develop, and optimize scalable data pipelines using Databricks and Azure data services
• Integrate internal and external data sources and build reusable, modular data components
• Develop curated datasets and data products for analytics, dashboards, recommendations, and AI applications
• Design batch and streaming solutions; optimize Spark workloads, Delta tables, and low-latency data processing
• Prepare and structure datasets for AI Agents / GenAI and support Azure AI Foundry integration patterns
• Implement AI-driven workflows to automate data analysis, reporting, insight generation, and identification of business risks, inefficiencies, and performance gaps
• Design semantic and metadat

📌 AI Data Analytics Engineer (Bengaluru)
🏢 Siemens Healthineers
📍 Bengaluru

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