- Over all experiece must be 15 + Years
- More than 8+ years of relevant experience in data engineering tools like Azure Data pipelines , Azure Data factory, Azure Data Lake Storage, Databricks,
- Delta Lake, Python, SQLServer, and experience with Azure Cloud
- Strong knowledge and experience designing and implementing solutions on Databases like Hadoop, SQLServer, Oracle, Azure Synapse
- Demonstrated experience in building, tuning data pipelines on Spark, Cloud native tools like Azure Data Factory, Databricks and ETL tools
- Hands on Azure Data architecture experience
- Optimize Azure Synapse database
- Performance tuning of workload and recommend adjustment
- Understand the need for both batch and stream ingestion of the data from source databases like SQLServer, Oracle, MySQL and other RDBMS based databases.
- Experience demonstrating and ability to talk about wide variety of data engineering tools, architectures across cloud providers and open-source tools and packages.
- Experience working with business teams, dev teams and coming up with designs to deliver data solutions with best practices and standards.
Notes: Azure Architect to look into the existing data pipelines/workloads and performance issues and optimize the azure synapse db settings and recommend adjustments.