Lead the design and development of big data solutions using Java and cloud technologies, providing technical guidance and ensuring best practices.
Job Description
Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.
As a Senior Java BigData Cloud Lead Software Engineer at JPMorgan Chase within the Asset and Wealth Management, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.
Job responsibilities
- Lead the design and development of big data solutions using Java 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).
Top Skills
AWS
Azure
Big Data
GCP
Hadoop
Java
Kafka
NoSQL
Spark
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