description:

• 10+ years of experience in IT specifically in Data Solutions Architecture.
• Strong skills in data management: data modeling and db design, DWE Solution Architecture, data integration, data movement and replication, business intelligence, data quality, reference and master data management, data governance
• Hands-on implementation experience working with a combination of the following technologies: Hadoop distributions, Storm and Spark streaming, Kafka, Spark advanced analytics, NoSQL data warehouses such as Hbase and Cassandra, data processing frameworks
• Experience in designing and implementing big data solutions. This includes creating the requirements analysis, design of the technical architecture, design of the application design and development, testing, and deployment of the proposed solution
• Expertise in database integration patterns and performance considerations for operational and DWE databases
• Experience with patterns and technologies in emerging areas: Big Data, Hadoop, Hortonworks, Aster, NoSQL databases, Visualization tool, Advanced Analytics, BI Virtualization, Cloud etc.Financial services experience in at least one of the following domains : client data, deposits, retail investments, card systems
• Undergraduate Degree in Computer Science, Engineering, or equivalent experience

Nice to have technology experience

• Experience in APIs, Micro services and Event Based Architectures
• Domain Knowledge in financial services platforms and enterprise functions (e.g. Banking, Insurance, Investments, Wealth Management, AML, Risk, Finance, Fraud etc.)
• Experience with Vertica or other MPP databases
• Experience with Java/Python/functional programming