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
Robust hands-on experience in Python, PySpark, SQL, PL/SQL, and Azure Databricks for developing scalable data engineering solutions.
Positive 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 effective, optimized code for large-scale data processing.

📌 Opening For Data Engineering Azure Databricks Bengaluru
🏢 EXL
📍 Bengaluru