Big Data Developer

Job Description

Role & responsibilities Develop and maintain Big Data solutions using Hadoop, Hive SQL, Spark, and other Big Data ecosystem tools. Optimize and enhance query performance. Set up environments, ensure connectivity, and deploy code in production after thorough testing. Serve as a primary contact for small to medium-sized projects as needed. Work in an Agile development framework and follow DevOps best practices. Create Scala/Spark jobs for data transformation and aggregation. Write unit tests for Spark transformations and helper methods. Document code using Scaladoc-style documentation. Design and implement data processing pipelines Preferred candidate profile Hands-on experience with Hadoop, Hive SQL, Spark, and Big Data ecosystem tools. Ability to optimize queries and enhance performance. Strong functional and technical knowledge with an understanding of banking terminologies. Experience working in an Agile and DevOps environment. Proficiency in Scala/Spark for data transformation. Perks and benefits Competitive Salary and Benefits Growth Opportunities Be part of a fast-paced and growing startup. Ownership & Responsibility You will own initiatives and drive results. Continuous Learning & Mentorship – Work closely with senior data scientists and AI experts. Dynamic & Respectful Work Environment – A culture that values and supports its employees.