Description

Unlock the power of data with our expert Databricks Developer, transforming complex datasets into actionable insights with seamless efficiency. Elevate your business intelligence and drive innovation through cutting-edge data engineering solutions.

As a Databricks Developer at JPMorgan Chase within our Data Engineering team, you will be a pivotal player in our cloud transformation journey.

Job 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 process 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.

Required Qualifications, Capabilities, and Skills:

• Formal training or certification on software engineering concepts and 3+ years applied experience
• Proficiency with hands on experience 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.

Preferred Qualifications, Capabilities, and Skills:

• Certification in cloud technologies (e.g., AWS Certified Solutions Architect).
• Knowledge on ETL technologies like Abinitio/Inoformatica/Prophecy would be a plus.
• Knowledge of DevOps practices and CI/CD pipelines, containerization - docker, Kubernetes.
• Databricks certified Data Engineer or equivalent ones.
• Strong financial and business analytical skills.