Posted:2 months ago| Platform:
Work from Office
Full Time
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 development of software solutions that leverage data to address business challenges. They will be extensively involved in hands-on activities including proof of concepts, development, and testing. They should demonstrate adaptability and readiness to change tasks according to the teams requirements. Key Responsibilities Deliver high-quality products and features, taking a holistic view from the initial idea to final delivery. This involves design, development, testing, and accountability for release deployments as well as providing support post-deployment. Understand the product in its entirety and ensure the timely delivery of your assigned module within an agile team setting. Accurately scope efforts, identify risks, and clearly communicate trade-offs with team members and other stakeholders. Coordinate and participate in Continuous Integration activities, testing automation frameworks, and other related tasks, in addition to contributing to core product code. Effectively communicate status updates, issues, and potential risks accurately and promptly. Perform other tasks related to data governance and system infrastructure as required. This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager. Basic Qualifications Bachelors degree, OR 3+ years of relevant work experience Preferred Qualifications Bachelors degree in Computer Science or equivalent field Relevant working experience of up to 2 years in the industry Proven experience in software development, particularly in data-centric projects, demonstrating adherence to standard development best practices Strong understanding and practical experience with data structures and algorithms, with a passion for tackling complex problems Proficiency in Java programming Hands-on experience with Big Data technologies such as Hadoop, Spark, and Hive Strong knowledge of Unix/Linux operating systems and Shell Scripting Proficiency in working with RDBMS and SQL Basic knowledge of manual and automated testing Familiarity with version control systems, specifically Git Awareness of and experience with software design patterns Experience working within an Agile framework Proficiency in Scala & Kafka programming is a good to have Experience with Airflow for workflow management Familiarity with AI concepts and tools, including GitHub Copilot for code development Exposure to AI/ML development is an added advantage Proficiency in working with In-memory Databases like Redis Good knowledge of API development is highly advantageous 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
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