Azure Data Engineer

Job Description

Role & responsibilities Experience in cloud data and analytics platforms of Azure Experience with Azure cloud Analytical tools is a must. 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 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 SQL or Python or 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 Job Specification Total Year of Experience -7+years Azure Cloud Experience - 5years Azure cloud Analytical tools experience - 3+years