Data Engineer (Azure Data Platforms)
Summary
Data Engineer in Bengaluru (onsite) who architects and maintains Azure-based data platforms: building end-to-end pipelines with Azure Data Factory, Databricks, and Synapse, streaming with Kafka and Airflow, storing data in Cosmos DB and Blob Storage, and governing it via Azure Purview. Targets ~3-6 years of experience at ₹10 LPA.
Data Engineer (Azure Data Platforms)
Summary
Responsibilities
- Architect and develop end-to-end data solutions utilizing the Azure ecosystem, including Azure Data Factory, Azure Databricks, and Azure Synapse Analytics.
- Implement real-time data streaming and processing capabilities using Apache Airflow, Kafka, and Azure Functions.
- Manage and optimize data storage strategies across Cosmos DB and Blob Storage to ensure high availability and performance.
- Establish comprehensive data governance and lineage tracking frameworks using Azure Purview to maintain compliance and data quality.
- Collaborate with cross-functional teams to translate business requirements into technical data specifications and scalable architectures.
- Monitor data pipeline performance, troubleshoot issues, and implement continuous improvements to enhance system efficiency.
Requirements
- Possess 3-6 years of hands-on professional experience in data engineering within the IT Services industry.
- Demonstrate proven proficiency with Azure data services, specifically Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and Azure Functions.
- Exhibit strong expertise in managing NoSQL databases (Cosmos DB) and object storage solutions (Blob Storage).
- Have practical experience implementing streaming data architectures using Apache Airflow and Kafka.
- Understand and apply data governance principles using tools like Azure Purview.
- Hold a competitive salary expectation aligned with the market rate of ₹10 LPA for the specified experience level.