Technical Architect - Azure/Kafka/Spark

As a Data Engineer in our company, your role will involve the following responsibilities: - Designing and building scalable data pipelines on Azure for batch and streaming workloads. - Developing high performance data transformations using Python, PySpark, and Spark. - Implementing and managing real-time data processing using Kafka. - Working with Azure data platforms such as Databricks, ADLS, and Synapse. - Writing and optimizing complex SQL queries for large datasets. - Applying data quality checks, validation, and monitoring for production pipelines. - Optimizing performance through Spark tuning, partitioning, and efficient data formats. - Collaborating with cross-functional teams in an Agile delivery environment. If shortlisted, you will be invited for initial rounds on 20th June 2026, Saturday in Bangalore. As a Data Engineer in our company, your role will involve the following responsibilities: - Designing and building scalable data pipelines on Azure for batch and streaming workloads. - Developing high performance data transformations using Python, PySpark, and Spark. - Implementing and managing real-time data processing using Kafka. - Working with Azure data platforms such as Databricks, ADLS, and Synapse. - Writing and optimizing complex SQL queries for large datasets. - Applying data quality checks, validation, and monitoring for production pipelines. - Optimizing performance through Spark tuning, partitioning, and efficient data formats. - Collaborating with cross-functional teams in an Agile delivery environment. If shortlisted, you will be invited for initial rounds on 20th June 2026, Saturday in Bangalore.