Data Engineer

Key Responsibilities

• Design, develop, and optimize large-scale data analytics and data warehouse solutions using Azure Data Factory and Azure Databricks.
• Build and maintain data lake architectures to process multi-format, high-volume datasets.
• Translate solution designs into fully functional implementation packages on the Azure platform.
• Manage distributed data processing workflows and integrate solutions with service-oriented architectures.
• Work extensively on Azure Storage Gen2, Azure DevOps pipelines, and Azure analytics services.
• Develop high-performance data pipelines using Spark (Scala / Python) and T-SQL.
• Implement ETL workflows using tools such as Informatica, SSIS, or Talend.
• Collaborate in Agile SDLC environments, ensuring cloud deployments follow best practices.
• Work with streaming technologies (Kafka) for real-time data ingestion (good to have).
• Ensure adherence to best practices around cloud, DevOps, testing, and modern CI / CD processes.

Notice period : Immediate joiners to 20 days