• 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 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. Basic Qualifications: • 4+ years of experience in 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 • Expertise in design and management of complex data structures and data processes • Expertise in one of the areas – Node.js/Javascript/Java/Python and ability to code in other languages if required. • Expertise in efficiently leveraging the power of distributed big data systems, including but not limited to Hadoop Hive, Spark, Kafka streaming, Databases and etc. • Hands on experience in Containerization, K8, EFK • Deep knowledge and hands on experience on big data and cloud computing technologies. • 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. • 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 Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
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