Digital Engineering Lead Engineer

•    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

Primary Skills: Azure Databricks, Azure Service Bus, PySpark, SQL 

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