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Azure Data Engineer / Senior Azure Data Engineer About the Role We are looking for experienced Azure Data Engineers to design, build, and maintain scalable data pipelines and cloud-based data solutions that support enterprise data storage, processing, analytics, and reporting requirements. The ideal candidate will have strong hands-on experience with Azure Databricks, Azure Data Factory (ADF), Azure Synapse Analytics, Azure Data Lake Storage (ADLS), PySpark, and SQL. Python development experience would be advantageous. Depending on experience and capability, candidates will be considered for either the Azure Data Engineer (4-6 years) or Senior Azure Data Engineer (6-10 years) position. Key Responsibilities Design, develop, test, and maintain scalable data pipelines using Azure Databricks and Azure Data Factory. Build and optimize data processing solutions using PySpark and Spark SQL. Develop data ingestion, transformation, and integration processes across multiple source systems. Implement solutions leveraging Azure Synapse Analytics and Azure Data Lake Storage (ADLS Gen2). Troubleshoot and resolve data pipeline and processing issues. Contribute to code reviews, technical documentation, and engineering best practices. Support CI/CD implementation and automated deployment of data solutions. Required Skills Experience Essential o Hands-on experience with Azure Databricks (ADB), Azure Data Factory (ADF), Azure Synapse Analytics, Azure Data Lake Storage (ADLS Gen2), PySpark, SQL o Strong understanding of ETL/ELT development, Data integration and transformation, modern data platforms, Cloud-based data engineering practices, CI/CD pipelines Desirable - Python programming experience
Local Skills adb;PySpark;SQL;Azure DatabricksFrom live job posts on CoreHRx, updated 3 Nov 2026. Skill figures count posts that list their skills; salary figures only posts that show a salary.
The post does not state the pay. As an estimate, comparable posts on CoreHRx advertise ₹11L – ₹24L a year (typical for IT Jobs in India, 956 posts).
It is a full time job.
You apply on Horigine Consulting Pvt. Ltd's website. CoreHRx takes you there after you sign in.
Interview preparation · 60 questions
This page helps Indian job seekers prepare for Python interviews for backend, data engineering and data analyst roles, whether you are a fresher facing your first technical round or an experienced developer aiming for a senior position. It has 60 questions in three levels, easy, medium and hard, each with a concise sample answer and, where it helps, runnable Python 3.12 code. Topics include data structures, OOP, generators, decorators, the GIL and concurrency, type hints, testing and performance. Answer each question aloud in your own words first, then compare with the sample answer and run the code to check your understanding.
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