Roles & Responsibilities

- Design, develop, and deliver scalable end-to-end data pipelines using Azure Data Factory, ensuring robust integration

of enterprise-wide data from diverse sources
- Build and optimize data engineering workflows using Databricks and PySpark
- Write productive, high-performance SQL for data transformation and analysis
- Work with the Azure Cloud platform and associated services, applying strong understanding of data warehousing,

data models, and pipelines

- Provide technical leadership to a team of developers, including code reviews and enforcing best practices across the development lifecycle
- Oversee CI/CD implementation using Azure DevOps, managing deployments across development, QA, and production environments with proper change control processes
- Collaborate with cross-functional teams to translate business requirements into scalable data solutions
- Ensure data quality, reliability, and performance across all pipelines and platforms

📌 Senior Azure Databricks Developer (Pyspark, Databricks) (Mumbai)
🏢 CGvak Software Exports
📍 Mumbai