Azure Data Engineer

· At least 5 years of experience in implementing operational data store (ODS) for the retail banking space, which captures the multiple cross system transactions, providing high throughput and low latency solution using RDBMS or NoSQL Technologies.

· Should have experience implementing real time data streaming using Spark and Confluent Kafka. Should have prior experience in implementing the event based real time/near real time updates.

· Should have configuration-based coding experience. Write once configure many data pipelines.

· Should have hands on experience implementing solutions using ADLS Gen2, Azure Blob storage, Azure Databricks, Azure SQL Server and Azure REDIS Cache.

· Should have experience in modeling the Party Data model for the retail banking space.

· Well versed in Azure platform engineering using PowerShell, ARM Templates, Cloud Automation Frameworks, Azure DevOps and GitLab.

· Familiarity with the technology stack available in the industry for metadata management: Data Governance, Data Quality, MDM, Lineage, Data Catalog etc.