Location: Remote – India
Employment Type: Full-Time, Permanent
Job Summary
We are seeking an experienced Senior Data Engineer with 8–10+ years of experience in designing, developing, and managing up-to-date data platforms, data pipelines, and cloud-based analytics solutions. The ideal candidate will have strong expertise in Azure Data Services, large-scale data processing, data warehousing, ETL/ELT frameworks, and cloud-native data architectures. The role requires hands-on experience in building scalable, secure, and high-performance data solutions that support enterprise analytics, reporting, AI, and business intelligence initiatives.
Key Responsibilities
Design, develop, and maintain scalable data platforms and data pipelines on Microsoft Azure.
Build and optimize batch and real-time data ingestion frameworks from multiple structured and unstructured data sources.
Design and implement data lake, data warehouse, and lakehouse architectures to support analytics and reporting workloads.
Develop and manage ETL/ELT processes using modern cloud-native data engineering practices.




Implement data transformation, cleansing, validation, and quality frameworks to ensure data accuracy and reliability.
Collaborate with business stakeholders, data analysts, data scientists, and application teams to understand data requirements and deliver scalable solutions.
Optimize data storage, processing, and query performance across enterprise data platforms.
Implement security, governance, monitoring, and compliance best practices across Azure environments.
Support integration of data platforms with AI/ML, business intelligence, and enterprise applications.
Participate in architecture reviews, code reviews, troubleshooting, and technical mentoring activities.
Ensure high availability, scalability, and operational excellence of data platforms and pipelines.
Required Skills & Qualifications
8–10+ years of experience in Data Engineering, Data Warehousing, and Enterprise Data Platform development.

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