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 opportunities
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 new 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 S

📌 Data/AI Engineer (Pune)
🏢 Guidepoint
📍 Pune