Overall, 7 to 9 years of experience in cloud data and analytics platforms such as AWS, Azure, or GCP €¢ Including 3+ years€™ experience with Azure cloud Analytical tools is a must €¢ Including 5+ years of experience working with data & analytics concepts such as SQL, ETL, ELT, reporting and report building, data visualization, data lineage, data importing & exporting, and data warehousing €¢ Including 3+ years of experience working with general IT concepts such as integrations, encryption, authentication & authorization, batch processing, real-time processing, CI/CD, automation €¢ Advanced knowledge of cloud technologies and services, specifically around Azure Data Analytics tools o Azure Functions (Compute) o Azure Blob Storage (Storage) o Azure Cosmos DB (Databases) o Azure Synapse Analytics (Databases) o Azure Data Factory (Analytics) o Azure Synapse Serverless SQL Pools (Analytics) o Azure Event Hubs (Analytics- Realtime data) €¢ Strong coding skills in languages such as o SQL o Python o PySpark €¢ Experience in data streaming technologies such as Kafka or Azure Event Hubs €¢ Experience in handling unstructured streaming data is highly desired €¢ Knowledge of Business Intelligence Dimensional Modelling, Star Schemas, Slowly Changing Dimensions €¢ Broad understanding of data engineering methodologies and tools, including Data warehousing, DevOps/DataOps, Data ingestion, ELT/ETL and Data visualization tools €¢ Knowledge of database management systems, data modelling, and data warehousing best practices €¢ Experience in software development on a team using Agile methodology €¢ Knowledge of data governance and security practices