At least of 12+ years IT experience with minimum 5+ years of experience in implementing and managing Azure Cloud components.
Expertise in Python and SQL best practices
Experience in data and analytics domain
Knowledge of integrating Azure Active Directory with other services
In-depth experience of key Azure services for data integration, BI and processing services including but not limited to Azure HDInsight, Azure Databricks, Azure Portal, Log Analytics, Azure Data Factory, , Azure Search, Azure Functions, Azure Stream Analytics, Managed Airflow and Azure Event Hub.
Experience in Azure cosmos DB over PostgreSQL, mongo dB and live streaming with Azure EventHub.
Experience on Azure functions with Python language.
Experience in migration of on-prem applications and data analytics workload to Azure cloud.
Experience in designing Azure cloud architecture and operationalizing solutions around monitoring, alerting, logging etc.
Working knowledge on Architecture design, Modelling, prototyping, and benchmarking of DataStore/ EDW solutions.
Knowledge of variety of advanced architecture, tools, and concepts across all layers of modern distributed technology stack covering the big data ecosystem.
Knowledge of Azure storage services such as Azure storage account, Azure Cosmos DB, Azure Time Series Insights, Redis Cache, SQL Databases, Table Storage
Experience with programming languages such as Python
Experience in enabling DevOps automation for Azure with appropriate security and privacy considerations.
Knowledge of configuring and provisioning networks and infrastructure in cloud
Good to have knowledge of Big Data ecosystems such as Hadoop / Hive, HDFS, Spark, YARN and others.
Good to have Snowflake, Scala, and Java experience
Pre-sales experience will be an added advantage.
Any BI experience
Experience in any other cloud technologies like AWS, ALI, GCP.
Bachelor’s degree in computer science, engineering, or related field (master’s degree is a plus)