We are looking for a skilled Data Engineer to design, develop, and optimize scalable data pipelines and cloud-native data solutions on Microsoft Azure. The ideal candidate should possess robust expertise in Databricks, Spark, SQL, and ETL/ELT frameworks. Experience 4-8 years of experience in Data Engineering Key Responsibilities Design and implement scalable ETL/ELT pipelines. Develop data ingestion frameworks for multiple source systems. Build and optimize Spark-based data processing workflows. Develop batch and near real-time data integration solutions. Support data orchestration and transformation activities. Optimize performance of Databricks jobs and data pipelines. Ensure data quality, lineage, and operational reliability.



Support CI/CD and DevOps practices for data solutions. Collaborate with Data Architects and Analysts on solution delivery. Required Skills Azure Databricks Azure Data Factory Azure Synapse Analytics Apache Spark SQL Python / Scala / Java ETL/ELT Frameworks Azure Data Lake (ADLS) Data Warehousing Concepts Performance Tuning and Optimization Preferred Skills Delta Lake Azure DevOps Git Key Deliverables Production-ready data pipelines Optimized ETL frameworks Data migration and transformation solutions Enterprise-grade data models

📌 Data Engineer (Bengaluru)
🏢 TRIGENT SOFTWARE PRIVATE
📍 Bengaluru