Opening For Data Engineering - Azure Databricks

Key Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines and data processing workflows on Azure-based data platforms.
• Develop high-performance data engineering solutions using Python, PySpark, SQL, PL/SQL, and Azure Databricks while ensuring data quality and reliability.
• Collaborate with business stakeholders, solution architects, and data modellers to translate business requirements into scalable technical solutions.
• Support data migration, modernization, optimization, and performance tuning initiatives while following engineering best practices.

Skills Required

• Strong hands-on experience in Python, PySpark, SQL, PL/SQL, and Azure Databricks for developing scalable data engineering solutions.
• Good understanding of ETL/ELT frameworks, distributed data processing, Azure data services, and performance optimization techniques.
• Experience building and maintaining enterprise-grade data pipelines, data integration solutions, and cloud-based data platforms.
• Ability to troubleshoot complex data engineering issues and write efficient, optimized code for large-scale data processing.