We are seeking a skilled and experienced Azure Data Engineer with 6+ years of hands-on experience in designing, developing, and maintaining scalable data solutions using Azure Data Factory, Azure Databricks, Azure SQL, and SQL-based databases.

The ideal candidate will have a strong understanding of data integration, transformation, and analytics within the Azure ecosystem.

Key Responsibilities :

- Design and implement end-to-end data pipelines using Azure Data Factory.

- Develop and optimize data transformation workflows using Azure Databricks (PySpark/Scala).

- Manage and maintain Azure SQL databases, ensuring performance, reliability, and security.

- Write complex SQL queries for data extraction, transformation, and reporting.

- Collaborate with data scientists, analysts, and business stakeholders to understand data requirements.

- Monitor and troubleshoot data pipeline issues and ensure data quality and integrity.

- Implement best practices for data governance, security, and compliance.

- Participate in code reviews, documentation, and knowledge sharing.

Required Skills & Qualifications :

- 6+ years of experience in data engineering or related roles.

- Strong expertise in Azure Data Factory, Azure Databricks, and Azure SQL.

- Proficiency in SQL and experience with relational databases.

- Experience with data modeling, ETL/ELT processes, and data warehousing.

- Familiarity with CI/CD pipelines, version control (Git), and DevOps practices.

- Excellent problem-solving skills and attention to detail.

- Strong communication and collaboration abilities.

Preferred Qualifications :

- Microsoft Azure certifications (e.g., DP-203: Data Engineering on Microsoft Azure).

- Experience with Power BI, Synapse Analytics, or other Azure data services.

- Knowledge of Python, Spark, or Scala for data processing.