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 D

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