Roles & Responsibilities:

• Develop Flink data processing applications to handle streaming data with high throughput.
• A senior who can help his Flink development team, guiding and helping them implement custom solutions through Flink.
• Develop applications with good usability and scalability principles that read from various sources and writes into various sinks.
• Worked on integrations of other technologies with Flink, eg: Kafka, MongoDB, etc
• Collaborate with team to design, develop, test and refine deliverables that meet the objectives. 
• Provide design and architectural solutions to the business problems. 
• Conduct frequent brainstorming sessions and motivate team and drive innovations. 
• Experience in the areas of Messaging, Data processing, preferably on Flink on any cloud platform (Azure, GCP, AWS)

Mandatory Skills: 

• 10+ years of Java development with expertise in transforming data.
• 5+ years of experience consuming streaming data from Kafka, Flink.
• 5+ years of experience on building pipelines which can handle high throughput using Flink. 
• Hands on experience with Continuous Integration & Deployment (CI/CD)  
• Product & Design Knowledge - Experience with Large Enterprise Scale Integrations (preferably in design/development of customer facing large enterprise applications) 
• Experience in Digital Banking/ecommerce or any complex customer facing applications. 
• Excellent business communication skills 
• Seasoned Java developer who knows about all aspects of SDLC.

Desired Skills: 

• Experience in Apache Flink (Stream, Batch, Table APIs)
• Experience in Apache Spark (Structured streaming, Batch processing)
• Experience working with document databases preferably MongoDB
• Experience working on Kafka with Flink 
• Working experience in Agile methodologies 
• Knowledge in cloud platform, preferably Azure  
• Experience of working across one or more geographic territories or regions 

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