What makes you a great fit:

• Experience in implementing data storage solutions, managing, and developing data processing, and optimizing data solutions (Azure).
• Expertise in integrating, transforming, and consolidating data from structured and semi-structured data systems suitable for analytics solutions.
• Hands-on experience in integrating event based or streaming data into an existing data model. 
• Consuming stream payloads using Azure Service Bus. 
• Engaging with business users to gather requirements, design visualizations, and provide training to use self-service BI tools.
• Developing conceptual solutions & create proof-of-concepts to demonstrate viability of solutions.
• Architecting & implementing medium to large scale BI solutions on Azure using Azure Data Platform services (Azure Data Lake, Data Factory, Data Lake Analytics, Stream Analytics, Azure SQL DW, HDInsight/Databricks, NoSQL DB).
• Estimating the cluster size, monitoring, and troubleshooting of the Spark data bricks cluster.
• Experience in solving business problems using SQL.
• Experience in the financial services industry and experience managing teams in technology consulting.
• Experience in the following next gen tools and technologies: Hadoop, HIVE, Databricks, Python, Spark, Kafka, Dremio, Azure Platform, NoSQL, HBase, Snowflake.
• Experience in Data Management and Data Governance.
• Experience in data sourcing, data warehousing implementation, data management and Data-Sourcing ETL.
• Experience in data quality and designing and implementing end-to-end data controls.
• Experience in Events integration into a data model