Hadoop Engineer

Role & responsibilities Direct Responsibilities Integrate and upgrade the Quantexa tool with our existing systems for enhanced anti-money laundering measures. Develop and maintain Spark-based applications deployed on Kubernetes clusters. Conduct data analysis to understand and interpret underlying data structures. Collaborate with cross-functional teams to ensure seamless integration and functionality. Stay updated with the latest trends and best practices in Spark development and Kubernetes. Contributing Responsibilities • Work on tasks assigned by Lead independently. Take ownership of tasks assigned. • Adhering to the given timelines by Lead with first time right • Develop programs in optimal manner without compromising core architecture/design • Work on the technologies efficiently and produce best fit deliveries • Be proactive and provide status to the team lead. • Adheres to all compliance & project related processes • Gain functional knowledge on applications worked upon • Upgrade Technical skill by self-learning/taking Technical & Behavioral Competencies Key Responsibilities Integrate and upgrade the Quantexa tool with our existing systems for enhanced anti-money laundering measures. Develop and maintain Spark-based applications deployed on Kubernetes clusters. Conduct data analysis to understand and interpret underlying data structures. Collaborate with cross-functional teams to ensure seamless integration and functionality. Stay updated with the latest trends and best practices in Spark development and Kubernetes. Required Qualifications 5+ years of experience in development Extensive experience in Hadoop, Spark, Scala development (5 years min). Strong analytical skills and experience in data analysis (SQL), data processing (such as ETL), parsing, data mapping and handling real-life data quality issues. Excellent problem-solving abilities and attention to detail. Strong communication and collaboration skills. Experience in Agile development High quality coding skill, incl. code control, unit testing, design, and documentation (code, test). Experience with tools such as sonar. Experience with GIT, Jenkins. Specific Qualifications (if required) Experience with development and deployment of spark application and deployment on Kubernetes clusters Hands-on development experience (Java, Scala, etc.) via system integration projects, Python, Elastic (optional). Preferred candidate profile