- Bachelors or higher degree in Computer Science or a related discipline; or equivalent (minimum 7 years work experience).

- At least 4+ years of consulting or client service delivery experience on Azure

- At least 4+ years of experience in developing data ingestion, data processing and analytical pipelines for big data, relational databases such as SQL server and data warehouse solutions such as Azure Synapse

- Extensive experience providing practical direction with using Azure Native services.

- Extensive hands-on experience implementing data ingestion, ETL and data processing using Azure services: ADLS, Azure Data Factory, Azure Functions, Azure Logic App Synapse/DW, Azure SQL DB, Event Hub, IOT Hub, Azure Stream Analytics, Azure Analysis Service, Databricks, Cosmo DB etc.

- Minimum of 4+ years of hands-on experience in Azure and Big Data technologies such as Java, Python, SQL, ADLS/Blob, PySpark and SparkSQL, Databricks, HD Insight and live streaming technologies such as EventHub, Azure Stream Analytics etc.

- Well versed in DevSecOps and CI/CD deployments

- Cloud migration methodologies and processes including tools like Azure Data Factory, Data Migration Service, etc.

- Minimum of 4+ years of RDBMS experience

- Experience in using Big Data File Formats and compression techniques.

- Experience working with Developer tools such as Azure DevOps, Visual Studio Team Server, Git, Jenkins, etc.

- Experience with private and public cloud architectures, pros/cons, and migration considerations.