JPMorganChase is looking to replace its existing SQL infrastructure with cloud-based solutions to enhance data processing capabilities and enable end-users to access data swiftly and derive insights through AI.
Requirements
- Proven experience in SQL database management and development
- Strong expertise in Databricks and cloud platforms such as AWS, Azure, or Google Cloud
- Proficiency in programming languages such as Python, Scala, or Java
- Experience with data integration, ETL processes, and data warehousing
- Familiarity with big data technologies and frameworks
- Experience with machine learning and data analytics
- Certification in cloud technologies (e.g., AWS Certified Solutions Architect, Azure Data Engineer)
Responsibilities
- designing, developing, and implementing cloud-based solutions to replace our existing SQL infrastructure
- leverage Databricks and other cloud technologies, enhancing our data processing capabilities
- empowering end users to access data swiftly and derive insights through AI
- Lead the migration of existing SQL databases and applications to Databricks and other cloud platforms
- Drive the development and deployment of AI tools, including building, testing, and reviewing model training
- Develop, test, and deploy scalable and efficient cloud applications
- Optimize data processing workflows while ensuring data integrity and security
Other
- Collaborate with cross-functional teams to understand business requirements and design cloud-based solutions.
- Provide technical guidance and support to team members and stakeholders.
- Stay abreast of the latest cloud technologies and best practices.
- Support production tasks and resolve issues.
- Partner with finance teams to develop and optimize data mining and analytics for financial trends and initiatives.
