Senior Data Engineer

Senior Data Engineer (Azure / Microsoft Technologies)

Location:

India (Remote, Full-Time)

Experience:

7+ Years (Strong Hands-On, Production-Grade)

Role Overview
Design, build, and operate modern, cloud-native data platforms on Microsoft Azure.
Own end-to-end data pipelines with focus on scalability, security, governance, and performance.

Key Responsibilities
Design cloud-native, scalable data architectures on Azure.
Build batch, incremental, and CDC-based data pipelines.
Implement ELT patterns using Azure Synapse and Databricks.
Develop real-time data pipelines using Event Hubs, Kafka, and Stream Analytics.
Implement data governance, security, monitoring, and CI/CD practices.
Mentor engineers and lead architecture discussions.
Required Skills & Experience
7+ years of hands-on experience in Data Engineering.
Strong expertise in Azure Data Factory, ADLS Gen2, Synapse Analytics, and Azure SQL.
Hands-on experience with Azure Databricks and Spark / PySpark.

Experience with real-time data processing (Event Hubs, Kafka, Azure Stream Analytics).
Understanding of ML data workflows, feature engineering, and MLOps integration.
Experience working with C# on Azure-based data or platform workloads.
Strong SQL performance tuning and optimization skills.
Strong Python / Power Shell scripting skills.
Nice to Have
Docker and Kubernetes experience.

Experience with  Microsoft Fabric  (Lakehouse, Data Pipelines, One Lake, Synapse Engineering).
Experience collaborating with  Analytics / BI teams  (Power BI or equivalent)
Exposure to at least one additional cloud platform (AWS or GCP).
Cloud cost optimization experience.
Why Join Us
Work on enterprise-scale, AI-ready data platforms.
Fully remote role with strong technical ownership.
Opportunity to define standards and best practices.