Overview:

We are looking for a Senior Data Engineer with deep expertise in Lakehouse architecture, real-time data streaming, cloud data infrastructure, and microservices development on Azure Kubernetes Service (AKS). You will play a central role in designing and delivering next-generation data pipelines, BI solutions, AI/ML platforms, streaming APIs, and scalable microservices that power Guidepoint's research and analytics products.

This is a high-impact, hands-on engineering role. You will work closely with data architects, data scientists, analysts, frontend engineers, QA, and DevOps teams to translate complex business requirements into scalable, reliable, and observable data systems.

This is a Hybrid role from our Pune office.

What You'll Do:

Data Engineering & Lakehouse
Design, build, and maintain ETL pipelines, data ingestion workflows, and table schemas on Azure Databricks to support BI, analytics, and AI/ML use cases
Architect and optimize the Lakehouse using Delta Lake on Databricks, ensuring reliability, performance, and cost efficiency




Build and support data pipelines from business applications such as Salesforce, NetSuite, and other enterprise systems
Develop and maintain Knowledge Graph models, entity relationship structures, and NLP-based insight pipelines
Maintain data governance, data privacy standards, and compliance best practices throughout the data lifecycle
Perform root cause analysis on data and processes to identify prospects for improvement
Collaborate with data architects, scientists, and business consumers to populate and optimize the data warehouse for reporting and analytics

Microservices & AKS Development
Develop and support scalable web APIs and microservices using Python and Azure Platform Services
Build current applications, services, and platforms; optimize existing solutions and refactor legacy components using up-to-date, scalable architectures
Design, implement, and deploy microservices on Azure Kubernetes Ser

📌 Data/ai Engineer Pune (India)
🏢 Guidepoint
📍 India