Software Engineer III - Databricks Developer
Software Engineer III - Databricks Developer
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Job Description
We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.
As a Databricks Developer at JPMorgan Chase within the Reporting Technology team you will play a pivotal role in our data transformation journey. You will be responsible for designing developing and implementing cloud-based solutions to replace existing vendor software supporting the daily needs of Finance users across different APAC locations.
Job responsibilities
- Executes software solutions design development and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
- Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
- Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
- Gathers analyzes synthesizes and develops visualizations and reporting from large diverse data sets in service of continuous improvement of software applications and systems
- Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
- Contributes to software engineering communities of practice and events that explore new and emerging technologies
- Adds to team culture of diversity opportunity inclusion and respect
Required qualifications capabilities and skills
- Formal training or certification on software engineering concepts and 3 years applied experience
- Hands-on experience in programming languages such as Python and Big Data technologies like Spark Kafka.
- Strong expertise in Databricks and AWS Cloud.
- Proven experience in SQL database management and development.
- Proficiency in software development processes including DBX framework and Agile methodologies.
- Experience with data integration ETL processes and data warehousing.
- Excellent problem-solving skills and attention to detail.
Preferred qualifications capabilities and skills
- AWS Google or Azure certification.
- Databricks Certified Data Engineer or equivalent.
- Knowledge of DevOps practices and CI/CD pipelines containerization - Docker Kubernetes etc.
Employment Type
Full-Time
