Job Description

• As a Full Stack Engineer, provide Platform-as-a-Service (PaaS) offerings, that are easy to consume, scalable, secure, and reliable using open source-based Cloud solutions for Big Data technologies
• Work at the intersection of infrastructure and software engineering by designing and deploying data and pipeline management frameworks built on top of open-source components, including Hadoop, Hive, Spark, HBase, Kafka streaming and other Open Source Big Data technologies.
• Collaborate with various teams to build and maintain the most innovative, reliable, secure, and cost-effective distributed solutions.
• Facilitate knowledge transfer to the Engineering and Operations team during and after deployment.
• Work with geographically distributed teams on technical challenges and process improvements.
• Responsible for the design and implementation of agile-innovative data pipeline and workflow management solutions that take advantage of technology advances that allow cost reduction, standardization, and commoditization.
• Drive the adoption of open standard toolsets to reduce complexity and support operational goals for increasing automation across the enterprise.
• Champion the adoption of open infrastructure solutions that are fit for purpose while keeping technology relevant.
• 8yrs of experience in architecture design and development of large-scale data management platforms and data application with simple solutions
• A Full Stack developer with must have hands on coding and designing skills on

1. Node.js/Javascript or Java/Python
2. React/Angular for front-end
3. MVC (model-view-controller) for end-to-end development
4. SQL/NoSQL technology. Familiar with Databases like Oracle, DB2, SQL Server, etc.
5. Web Services (REST/ SOAP/gRPC)

• Expertise in design and management of complex data structures and data processes
• Expertise in efficiently leveraging the power of distributed big data systems, including but not limited to Hadoop Hive, Spark, Kafka streaming, and etc.
• Deep knowledge and hands on experience on big data and cloud computing technologies.
• Good to have experience -Apache NiFi and Apache Spark for processing large data sets
• Strong service architecture and development experience with high performance and scalability
• Technical background in data with deep understanding of issues in multiple areas such as data acquisition, ingestion and processing, data management, distributed processing, and high availability is required.
• Strong on driving for results and self-motivated, strong learning mindset, with good understanding of related advanced/new technology. Keep up with the technology development in the related areas in the industry, which could be leveraged to enhance current architectures and build durable new ones.
• Bachelor's degree in Computer Science or related technical discipline required; advanced degree is a plus.
• Strong leadership and team player.
• Strong skills on mentoring/growing junior people
• Payment industry experience is a plus.

Skills Required: Technical Architect,IT - Software,Software Services,Datawarehousing,Programming & Design,IT Software - DBA