Company
Qualcomm India Private Limited

Job Area
Information Technology Group, Information Technology Group > IT Data Engineer

General Summary
We are looking for a Senior Data Engineer to design, build, and operate a up-to-date, scalable data platform with Databricks Lakehouse as a core foundation. In this role, you will focus on building reusable data frameworks, shared platform components, and standardized pipelines that enable teams to deliver data products efficiently and consistently. Your work will support analytics, reporting, and downstream advanced use cases (including AI and machine learning), with a robust emphasis on reliability, governance, developer productivity, and intelligent automation. Solid technical role with ownership across data engineering, framework development, AI driven automation, platform reliability, security, and cost management, while contributing to architectural decisions and data standards.

Data Engineering, Frameworks & AI Driven Automation
Design, build, and maintain scalable batch and streaming data pipelines




Develop reusable data engineering frameworks, libraries, and templates for ingestion, transformation, validation, and publishing
Establish standardized patterns for data modeling, transformations, and pipeline orchestration
Implement end-to-end data workflows from raw ingestion to curated analytical datasets
Leverage AI based techniques to automate and optimize data engineering workflows, such as:
Intelligent schema inference and evolution
Automated data quality checks and anomaly detection
Pipeline failure detection and self-healing mechanisms
Experience building AI assisted or intelligent automation for:
Data quality monitoring
Pipeline observability
Cost or performance optimization
Ensure data quality, reliability, and performance across pipelines and shared frameworks
Support downstream consumers such as analytics, reporting, and AI/ML teams

Reliability, Operations & Intelligent Automation
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📌 Lead Databricks Data Engineer Bengaluru (India)
🏢 Qualcomm
📍 India