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 solid 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
📍 Bengaluru