Job DescriptionKey Responsibilities Nn Design, develop, and maintain scalable ETL/ELT pipelines and data processing workflows on Azure-based data platforms. N Develop high-performance data engineering solutions using Python, PySpark, SQL, PL/SQL, and Azure Databricks while ensuring data quality and reliability. N Collaborate with business stakeholders, solution architects, and data modellers to translate business requirements into scalable technical solutions. N Support data migration,modernization, optimization, and performance tuning initiatives while following engineering best practices. NnSkills Required Nn Strong hands-on experience in Python, PySpark, SQL, PL/SQL, and Azure Databricks for developing scalable data engineering solutions. N Good understanding of ETL/ELT frameworks, distributed data processing, Azure data services, and performance optimization techniques.



N Experience building andmaintaining enterprise-grade data pipelines, data integration solutions, and cloud-based data platforms. N Ability to troubleshootcomplex data engineering issues and write productive, optimized code for large-scale data processing. N Strong analytical and problem-solving skills with the ability to deliver scalable, high-quality data solutions. N Excellent communicationand stakeholder management skills, with experience working collaboratively in Agile cross-functional teams. NnGood to Haven N Experience working withMicrosoft Access (AccessDB) and VBA Macros for legacy application support, automation, or migration projects. Nnn

📌 Sr Data Engineering (Karnataka)
🏢 EXL
📍 Karnataka