Azure Data EngineerLocation: Chennai, Bangalore, Mumbai, Gurugram

Work Mode: Hybrid

Experience: 5.5–8.5 Years

Role OverviewWe are looking for an experienced Azure Data Engineer with strong expertise in data engineering, cloud technologies, and big data processing. The ideal candidate should have hands-on experience building scalable data pipelines, implementing ETL processes, optimizing data models, and managing data solutions using Azure services.

Key Responsibilities

- Design, develop, and maintain scalable data pipelines for data extraction, transformation, and loading (ETL).
- Build and optimize data processing solutions using Python, PySpark, and Databricks.
- Develop and manage data integration workflows using Azure Data Factory (ADF), Azure Data Lake Storage (ADLS), and Azure Databricks (ADB).
- Implement data models and data warehouse solutions to support analytical and reporting requirements.
- Write and optimize advanced SQL queries to improve data processing efficiency and performance.
- Ensure data quality, accuracy, consistency, reliability, and security across data pipelines.
- Optimize database performance, storage utilization, and query execution.




- Collaborate with data analysts, data scientists, and business stakeholders to understand requirements and deliver effective data solutions.
- Troubleshoot data pipeline issues and implement appropriate solutions to ensure smooth operations.
- Contribute to data strategy, best practices, and continuous improvement of data engineering processes.

Mandatory Skills
- Robust hands-on experience with Python and PySpark.
- Practical experience with Azure Databricks.
- Expertise in Azure Data Factory (ADF) and Azure Data Lake Storage (ADLS).
- Advanced SQL skills, including query optimization.
- Experience in data warehousing, data modeling, and data integration.
- Strong understanding of data quality, data management, and data strategy.
- Excellent communication, analytical, and problem-solving skills.

Preferred Candidate ProfileCandidates should have proven experience delivering end-to-end data engineering solutions in Azure environments, with the ability to work collaboratively in a hybrid setup and manage complex technical challenges effectively.

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