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JPMorgan Lead Software Engineer -Java Cloud Big Data 
India, Karnataka, Bengaluru 
728666720

29.04.2025


Job responsibilities:

  • Lead the design and development of big data solutions using Java, UI and cloud technologies.
  • Provide technical leadership and guidance to a team of engineers, ensuring best practices in software development and data engineering.
  • Collaborate with stakeholders to understand business requirements and translate them into technical solutions.
  • Architect and implement scalable, reliable, and secure big data pipelines and workflows.
  • Optimize existing systems for performance, scalability, and cost-effectiveness.
  • Ensure data security, privacy, and compliance with industry standards and regulations.
  • Troubleshoot and resolve complex technical issues related to big data processing and cloud infrastructure.
  • Stay current with emerging technologies and industry trends, and evaluate their potential impact on the organization.
  • Foster a culture of continuous improvement, innovation, and collaboration within the team.

Required qualifications, capabilities, and skills:

  • Formal training or certification on software engineering concepts and 5+ years applied experience
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
  • Experience in Java , Big Data, Cloud (AWS, Azure, or Google Cloud) development.
  • Experience with big data technologies such as Hadoop, Spark, Kafka, and NoSQL databases.
  • Hands-on practical experience delivering system design, application development, testing, and operational stability
  • Ability to tackle design and functionality problems independently with little to no oversight
  • Practical cloud native experience

Preferred qualifications, capabilities, and skills:

  • Experience with big data technologies such as Hadoop, Spark, Kafka, and NoSQL databases.
  • Experience in Agile/Scrum development methodologies.
  • Certification in cloud platforms (e.g., AWS Certified Solutions Architect, Google Cloud Professional Data Engineer).