Sr. SW Engineer - Java + Big Data

Job Description

This position is ideal for an engineer who is passionate about solving challenging business problems and building applications that provide an excellent user experience. They will be an integral part of the Payment Products Development team, focusing on the design and development of software solutions that leverage data to address business challenges. They will be extensively involved in hands-on activities including proof of concepts, design, documentation, development, and testing of new functionality. They should demonstrate adaptability and readiness to change tasks according to the teams requirements. Key Responsibilities Design, develop, and implement Automation solutions utilizing industry standard tools available. Work iteratively on the development of new products/solutions, starting with quick POCs and converting ideas into real products. Design and develop mission-critical systems, ensuring high availability and performance. Interact with both business and technical stakeholders to deliver high-quality products and services that meet business requirements and expectations, while applying the latest available tools and technology. Develop code to ensure deliverables are on time, within budget, and maintain high code quality standards. Demonstrate a passion for delivering zero-defect code and be responsible for ensuring the teams deliverables meet or exceed the prescribed defect Service Level Agreement (SLA). Coordinate Continuous Integration activities, other related tasks in addition to contributing to core product code. Present technical solutions, capabilities, considerations, and features in business terms, and effectively communicate status, issues, and risks in a precise and timely manner. Perform other tasks related to R&D, data governance, system infrastructure, and other cross-team functions as needed. This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager. Basic Qualifications 2+ years of relevant work experience and a Bachelors degree, OR 5+ years of relevant work experience Preferred Qualifications Bachelor s Degree or an Advanced Degree (e.g., Masters) in Computer Science/Engineering, Information Science, or a related discipline. 4 or more years of work experience in building large-scale applications using open-source technologies. Proven experience in software development, particularly in data-centric projects, demonstrating adherence to standard development best practices. Extensive experience with SQL and Big Data technologies such as Hadoop, Spark, and Hive for large-scale data processing and data transformation. Strong understanding and practical experience with data structures and algorithms, with a passion for tackling complex problems. Proficiency in Java programming. Solid knowledge of Unix/Linux operating systems and Shell Scripting. Proficiency in working with RDBMS, SQL, In-memory Databases like Redis Familiarity with version control systems, specifically Git. Awareness of and experience with software design patterns. Experience working within an Agile and Test-Driven Development environment. Strong verbal and written communication skills, with a proactive and self-motivated approach to improving existing processes to enable faster iterations. Demonstrated intellectual and analytical rigor, with a keen attention to detail. Team-oriented, energetic, and collaborative approach to work, coupled with a diplomatic and adaptable style. Passionate about learning and applying new technologies and delivering working solution Good knowledge of Kafka, data mock services are highly advantageous Proficiency in Load Runner is a good to have Familiarity with AI concepts and tools, including GitHub Copilot for code development Exposure to AI/ML development is an added advantage Experience with data visualization and business intelligence tools like Tableau, or other similar programs. Strategic thinker with good business acumen to orient data engineering to the business needs of internal and external clients. Previous exposure to financial services is a plus, but not required.