Data Engineer - Azure data bricks

Job description

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 - 3+ yrs of 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. - Strong analytical and problem-solving skills with the ability to deliver scalable, high-quality data solutions. - Excellent communication and stakeholder management skills, with experience working collaboratively in Agile cross-functional teams. Good to Have - Experience working with Microsoft Access (AccessDB) and VBA Macros for legacy application support, automation, or migration projects.