Software Engineer III Data Engineer - Databricks, AWS, Python

Databricks Developer

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 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.

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.