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