Job Description
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