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 / PowerShell scripting skills.

Nice to Have

• Docker and Kubernetes experience.
• Experience with Microsoft Fabric (Lakehouse, Data Pipelines, OneLake, 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.