To be successful as a Big Data Engineer you should have experience with:
Essential Skills:
• Full Stack Software Development for large-scale, mission-critical applications.
• Mastery in distributed big data systems such as Spark, Hive, Kafka streaming, Hadoop, Airflow.
• Expertise in Scala, Java, Python, J2EE technologies, Microservices, Spring, Hibernate, REST APIs.
• Experience with n-tier web application development and frameworks like Spring Boot, Spring MVC, JPA, Hibernate.
• Proficiency with version control systems, preferably Git; GitHub Copilot experience is a plus.
• Proficient in API Development using SOAP or REST, JSON, and XML.
• Experience developing back-end applications with multi-process and multi-threaded architectures.
• Hands-on experience with building scalable microservices solutions using integration design patterns, Dockers, Containers, and Kubernetes.
• Experience in DevOps practices like CI/CD, Test Automation, Build Automation using tools like Jenkins, Maven, Chef, Git, Docker.
• Experience with data processing in cloud environments like Azure or AWS
• Data Product development experience is essential.
• Experience in Agile development methodologies like SCRUM.
• Result-oriented with strong analytical and problem-solving skills.
• Excellent verbal and written communication and presentation skills.
You may be assessed on key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills.
This role is for Pune location.
Purpose of the role
To design, develop and improve software, utilising various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues.
Accountabilities
- Development and delivery of high-quality software solutions by using industry aligned programming languages, frameworks, and tools. Ensuring that code is scalable, maintainable, and optimized for performance.
- Cross-functional collaboration with product managers, designers, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration and alignment with business objectives.
- Collaboration with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing.
- Stay informed of industry technology trends and innovations and actively contribute to the organization’s technology communities to foster a culture of technical excellence and growth.
- Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions.
- Implementation of effective unit testing practices to ensure proper code design, readability, and reliability.