Job
Description
As a Senior Engineer at Impetus Technologies, you will be responsible for designing, developing, and deploying scalable data processing applications using Java and Big Data technologies. Your role will involve collaborating with cross-functional teams to gather requirements, develop high-quality code, and optimize data processing workflows. Additionally, you will mentor junior engineers and contribute to architectural decisions to enhance system performance and scalability. Key Responsibilities: - Design, develop, and maintain high-performance applications using Java and Big Data technologies. - Implement data ingestion and processing workflows utilizing frameworks like Hadoop and Spark. - Collaborate with the data architecture team to define data models and ensure efficient data storage and retrieval. - Optimize existing applications for performance, scalability, and reliability. - Mentor and guide junior engineers, providing technical leadership and fostering a culture of continuous improvement. - Participate in code reviews and ensure best practices for coding, testing, and documentation are followed. - Stay current with technology trends in Java and Big Data, and evaluate new tools and methodologies to enhance system capabilities. Qualifications Required: - Strong proficiency in Java programming language with experience in building complex applications. - Hands-on experience with Big Data technologies such as Apache Hadoop, Apache Spark, and Apache Kafka. - Understanding of distributed computing concepts and technologies. - Experience with data processing frameworks and libraries, including MapReduce and Spark SQL. - Familiarity with database systems such as HDFS, NoSQL databases (like Cassandra or MongoDB), and SQL databases. - Strong problem-solving skills and the ability to troubleshoot complex issues. - Knowledge of version control systems like Git, and familiarity with CI/CD pipelines. - Excellent communication and teamwork skills to collaborate effectively with peers and stakeholders. - A bachelor's or master's degree in Computer Science, Engineering, or a related field is preferred. In this role, you will be responsible for designing and developing scalable Java applications to handle Big Data processing. You will collaborate with cross-functional teams to implement innovative solutions aligned with business objectives and ensure code quality and performance through best practices and testing methodologies. About the Team: You will work with a diverse team of skilled engineers, data scientists, and product managers who are passionate about technology and innovation. The team encourages knowledge sharing and continuous learning through regular brainstorming sessions and technical workshops. You will be responsible for developing and maintaining high-performance Java applications that process large volumes of data efficiently, implementing data integration and processing frameworks using Big Data technologies such as Hadoop and Spark, and troubleshooting and optimizing existing systems to improve performance and scalability. To succeed in this role, you should have strong proficiency in Java and experience with Big Data technologies and frameworks, solid understanding of data structures, algorithms, and software design principles, excellent problem-solving skills, and the ability to work independently as well as part of a team. Familiarity with cloud platforms and distributed computing concepts is a plus.,
