Software Engineer III Data Engineer

Role Overview: You will be a Databricks Developer at JPMorgan Chase within the Data Engineering team, playing a crucial role in the cloud transformation journey. Your main responsibility will be to collaborate with cross-functional teams to understand business requirements and design cloud-based solutions, lead the migration of databases to Databricks and other cloud platforms, develop and deploy scalable cloud applications, optimize data processing workflows, provide technical guidance, and support production tasks. Key Responsibilities: - Collaborate with cross-functional teams to understand business requirements and design cloud-based solutions. - Lead the migration of existing SQL databases/ETL Layer and applications to Databricks and other cloud platforms. - Drive the development and deployment of processes using DBX framework. - Develop, test, and deploy scalable and efficient cloud applications. - Optimize data processing workflows while ensuring data integrity and security. - 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. Qualification Required: - Formal training or certification on software engineering concepts and 3+ years of applied experience. - Proficiency in programming languages such as Python and Big Data technologies like Spark, Kafka, etc. - Strong expertise in Databricks and cloud platforms such as AWS Cloud. - Proven experience in SQL database management and development. - Experience with data integration, ETL processes, and data warehousing. - Excellent problem-solving skills and attention to detail. - Strong communication and collaboration skills. Ability to work independently and efficiently. Additional Details: Knowledge of DevOps practices and CI/CD pipelines, containerization - docker, Kubernetes would be beneficial. Certification in cloud technologies like AWS Certified Solutions Architect and knowledge of ETL technologies like Abinitio/Informatica/Prophecy are preferred. Having financial and business analytical skills is a plus. Role Overview: You will be a Databricks Developer at JPMorgan Chase within the Data Engineering team, playing a crucial role in the cloud transformation journey. Your main responsibility will be to collaborate with cross-functional teams to understand business requirements and design cloud-based solutions, lead the migration of databases to Databricks and other cloud platforms, develop and deploy scalable cloud applications, optimize data processing workflows, provide technical guidance, and support production tasks. Key Responsibilities: - Collaborate with cross-functional teams to understand business requirements and design cloud-based solutions. - Lead the migration of existing SQL databases/ETL Layer and applications to Databricks and other cloud platforms. - Drive the development and deployment of processes using DBX framework. - Develop, test, and deploy scalable and efficient cloud applications. - Optimize data processing workflows while ensuring data integrity and security. - 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. Qualification Required: - Formal training or certification on software engineering concepts and 3+ years of applied experience. - Proficiency in programming languages such as Python and Big Data technologies like Spark, Kafka, etc. - Strong expertise in Databricks and cloud platforms such as AWS Cloud. - Proven experience in SQL database management and development. - Experience with data integration, ETL processes, and data warehousing. - Excellent problem-solving skills and attention to detail. - Strong communication and collaboration skills. Ability to work independently and efficiently. Additional Details: Knowledge of DevOps practices and CI/CD pipelines, containerization - docker, Kubernetes would be beneficial. Certification in cloud technologies like AWS Certified Solutions Architect and knowledge of ETL technologies like Abinitio/Informatica/Prophecy are preferred. Having financial and business analytical skills is a plus.